Modelling of electronic throttle body for position control system development

Size: px
Start display at page:

Download "Modelling of electronic throttle body for position control system development"

Transcription

1 Chapter 4 Modelling of electronic throttle body for position control system development 4.1. INTRODUCTION Based on the driver and other system requirements, the estimated throttle opening angle has to be precisely maintained in electronic throttle body (ETB) for providing better throttle response and drivability. Airflow into the intake duct of the engine is precisely controlled by proper positioning of butterfly valve which leads to allows enhanced fuel air mixture, thus optimizing combustion and reduced emissions. However, presence of multiple non-smooth nonlinearities such as limp-home position springs, different frictions, parameter variations, aging etc in the electronic throttle body affects the position accuracy of the throttle valve. Operation of ETB in the engine intake manifold, leads to create the nonlinearities and parameter uncertainties affects the system stability. The nonlinear characteristics in the system are also varied according to the operating conditions and as well the environmental conditions such as temperature, humidity and airflow. Hence there is a need of the control system to handle these nonlinearities present in the electronic throttle system. The nonlinearities predominantly exist in area near to the closed position of the throttle and the nonlinear effects are reduced as long as the valve opens. However the throttle control system has to track the reference throttle angle in its entire operating regime, particularly in the lower throttle valve angle for the idle speed control due to the prevailing of friction and opposing spring force are maximum in this region. The control system of electronic throttle should meet certain requirements, such as optimum settling time, no overshoot, less steady-state pointing error, low level of perturbations, should be robust and simple in its design to a range of plant parameter variations or disturbances. The accuracy and performances of the control system is largely depends on the type of control system employed. Control system design of an electronic throttle body is 66

2 challenging task, because of the throttle angle estimation complexities and also due to the presence of nonlinearities in the system NONLINEARITIES CHARACTERSTICS OF ETB Even though the electronic throttle body (ETB) is a simple device, but the system performance is significantly affected by various nonlinear characteristic such as limp home spring position, frictions, aerodynamic force of airflow across the throttle valve. In addition the system parameters are often uncertain due to aging, variations in working conditions and manufacturing tolerances. Mostly the literatures are addressing the nonlinearities created by the friction and spring. The present work addresses the nonlinearities created due to the limp home position spring and friction effect. The following section discuss about the nonlinear characteristic of limp home position spring and friction LIMP HOME POSITION SPRING NONLINEARITY Electronic throttle body has two inbuilt springs to keep the throttle valve open at a default open position. The throttle valve is opened for a default angle by the dual spring and this position is called as limp home position (LH) which is the fail safe location. To accomplish this, two springs are employed called as main spring is used to close the throttle and the other spring is in the plunger assembly of the valve, causes the throttle to be open in default angle. Hence, in the limp home position the spring forces the throttle valve to open for a certain angle ahead of the closed position. This is because, in the event of malfunction in the electronic throttle or other system malfunctions, the preload spring can bring back the valve to the limp-home position which is slightly above the closed position without an armature voltage to the motor. This causes the small amount of airflow is always ensured to operate the engine at a fixed condition even in case of failure in the system. By means of this the full closed position of throttle valve is prevented, which allows the driver to limp until it arrives at the nearest vehicle repair station. Due to this the throttle is trapped in the limp home region for a certain period of time until the spring force is overcomes. Also the operation of the idling and very low 67

3 load of an engine, the throttle angle is around the region of limp home position leads to create nonlinearity in controlling FRICTION NONLINEARITIES IN THROTTLE BODY As the throttle valve is moved by the motor, it has to overcome frictional forces created by the gearbox, LH springs and as well as in the throttle valve which act as a nonlinear phenomenon in the system. There are different types frictional forces developed on the throttle body such a Coulomb friction, static friction, stribeck friction, viscous and gear box friction. In the present work, Coulomb and viscous frictions are only considered in the control system development. I) COULOMB FRICTION The friction acting upon the system is related to the throttle movement direction (i.e. sign of velocity of throttle plate movement). Coulomb friction model does not rely on the magnitude of velocity, but rather just on direction of velocity. II) VISCOUS FRICTION Viscous friction happens in the situations where the throttle plate starts to rotate, which leads to reduces friction coefficient. Viscous friction is directly proportional to the throttle angular velocity and it increasing with increase in velocity. Hence, precise positioning of the throttle valve is important for regulating the airflow and torque requirements of the engine. However, the variation in the actual position of the throttle valve as compared to desired throttle angle input due to the nonlinearities described above such as friction and limp home position in the system DYNAMIC MODEL OF ELECTRONIC THROTTLE BODY In order to study the nonlinear effects on the angular position and throttle control system development, an integrated dynamic throttle body model has been developed in the present work and it is explained in the subsequent sections. A mathematical model 68

4 development place a major role while designing the appropriate control system for the plant. A typical mathematical model block diagram of Bosch s DV-E5 electronic throttle body is developed for the simulation purpose, by considering all the mechanical and electronic related components Figure.4.1 shows a typical electronic throttle body consisting of DC servo motor, gearbox and dual no-return spring. For the desired throttle angle input (, the throttle control system provides a motor voltage (U Motor ) signal to the H-Bridge driver circuit. For actuating the motor, H-bridge creates a motor armature current with an equivalent direction and duty cycle. In order to reduce the position error of the throttle valve a closed loop feedback control system is accomplished by using a throttle position sensor signal. Figure.4.1. Schematic of electronic throttle body system components DC MOTOR The precise positioning of the throttle valve angle is changed by using the DC motor and it consists of an inductor, resistor and a back emf voltage due to the motor rotation. U motor = (4.1) GEAR ARRANGEMENTS The gear arrangement in the throttle body connects the motor and the butterfly valve. Due to the gear ratios, the characteristic of actuation motor is the dominant 69

5 contributor of the whole ETB model. By means of the gear systems the torque produced by the motor is improved. Because of the torque improvement the size of the motor can be reduced and at the same time the gears system facilitates the motor to locate in parallel to the throttle shaft for a compact design. The butterfly valve is linked to the motor by means of the gear arrangements as shown in figure.4.1 and the photographic view is shown in figure.4.2. The gear set consist of pinion gear(n p ), motor gear(n m ), an intermediate gear(n i ) and valve gear(n v ). The equation for the gear ratio (G r ) between the motor shaft and throttle plate is give as, G r = = (4.2) By substituting eqn (4.2) and U motor = (4.3) Fig.4.2. Photographic view of gear arrangements in electronic throttle body LIMP HOME SPRING MODEL The default angle in the throttle valve accomplished by the dual non-return springs creates the nonlinearity in the operation of throttle control system due to asymmetric stiffness of the two springs. Each spring is acting independently on its respective direction, and both are pre-compressed. Both springs are pre-compressed by a specific angle and there is a minimum non-zero torque that is required to move throttle plate from its mean position. The spring torque is a piecewise linear function but the 70

6 spring constant differs greatly, and hence the spring torque depends on whether throttle valve is in the limp home forward or reverse position. A typical spring torque characteristic shown in Figure.4.3 of Bosch s DV-E5 electronic throttle body with spring balance point or the limp home position which varies between 14.5 (θ - Limp-home) and 15.5 (θ + Limp-home), also the lower mechanical stop (LMS) is at and upper mechanical stop (UMS) is at This variation in limp positive and negative is due to the construction flaws in the throttle body, aging, etc. The position of limp home, maximum and minimum angle for the throttle body is varied for the different category of engine throttle bodies according to the requirements. Figure.4.3. Variation of spring torque with the throttle angle Each spring is acting independently on its respective direction, and both are precompressed. Thus the resulting initial torque was non-zero. One of the non-linear moments acting on the throttle body was spring torque. The spring torque is a piecewise linear function but the spring constant differs greatly, and hence the spring torque depends on whether throttle valve is in the limp home forward or reverse position as shown in Figure.3. The spring torque applied to the throttle valve shaft is given as, T + spring = K + spring * (θ spring ) (4.4) Where spring compression related to the throttle angle, θ spring = (θ throttle - θ + Limp + θ + pre-load) 71

7 Where the preload torque on forward direction is give as T + pre-load = K + spring * θ + pre-load and the eqn (4.4) is given as, T + spring = K + spring * (θ throttle θ + Limp) + T + pre-load (4.5) Spring torque equation for acting on the reverse direction is derived as, T - spring = K - spring * (θ throttle θ - Limp) + T - pre-load (4.6) The analytical function of the restoring spring torque feature is given as four pieces of function and is expressed as in piecewise linear function, If θ throttle If θ limp θ throttle T spring = If θ limp θ throttle ---- (4.7) If θ throttle Figure.4.4.Variation of frictional torque with throttle angular velocity FRICTION MODELING As the throttle valve moved by the servo motor, it has to overcome frictional forces created by the gearbox and as well as in the throttle valve which act as a nonlinear phenomenon in the system. The frictional forces create a frictional torque (T static friction ) which opposes the direction of the motion. For the modeling of throttle body system, dry (Coulomb) friction and viscous friction are considered. A signum function is used to assess the direction of frictional torque depending on the direction of angular velocity. The signum function given as, Sign(x) = [ -1 for x<1, 0 for x=0, +1 for x>1] 72

8 As there are two different springs are acting in their respective active region, direction of friction is dependent on the direction of motion. Thus the frictional torque acting upon the system is related to the throttle movement direction (i.e. sign of velocity of throttle plate movement) as shown in figure.4.4. This condition is included by using signum function and the static frictional torque is modeled using coulomb friction which is represented in the following equation (4.8) Another friction factor is the viscous friction and is directly proportional to the throttle angular velocity. Its direction is always opposite to movement. Hence torque due to viscous friction will be as per the following equation (4.9) Figure.4.5. Dynamic model of electronic throttle body system DYNAMIC MOTION OF ETB The dynamic model of the electronic throttle body is formulated by considering the interaction between the each part of the system such as DC motor, dual springs and gearbox arrangements. The dynamic behavior the electronic throttle body is given by the torque acting on the throttle plate. The dynamic torque balance equation for motor will be as, 73

9 ---- (4.10) Behavior of the throttle valve load torque, which is transmitted through the reduction of gear trains, is governed as follows, (4.11) Combining the equation (4.10) and (4.11) gives the motor torque as follows, (4.12) Where J equivalent = J motor + J throttle ), C equivalent = C motor + C throttle ) and. The mathematical model of electronic throttle body on load side is given by the equation (4.12), considering the limp home position dual spring, dc motor with gear arrangements and friction. From the above mentioned dynamic behavior, a virtual model of electronic throttle body system is created in the SIMULINK workspace as shown in Appendix- A. The dynamic ETB model shown in figure.4.5 is useful in analyzing the dynamic behavior of electronic throttle body, parameter estimations and control system design process. Using the integrated model of the electronic throttle body, the nonlinearities which affect the throttle angle position accuracy such as friction and limp home spring position can be controlled by the robust control system design ESTIMATION OF MODEL PARAMETERS The various parameters in the mathematical model of the electronic throttle body such as motor constant, spring constant, preload torque, etc have to be estimated for the simulation and optimization of the electronic throttle body control system. In order to establish the various parameters of the throttle body, parameter estimation toolbox in MATLAB is used in this work. For the initial software in loop simulation of virtual throttle body. Model parameters of the throttle body are obtained by means of the multiple iterations and the final obtained values using estimation toolbox are tabulated in the Table

10 In order to validate the obtained data, the Bosch electronic throttle body is tested for the different operating voltages to evaluate some of the parameters experimentally by means of motor stall test. Thus, the obtained values of the motor are such as the resistance (R) is Ω, inductance (L) is 1.523mH and K back emf is Vs/rad. Hence the experimental values of the above mentioned parameters are closely matched with the estimated parameters. Table.4.1. Estimated parameters of the electronic throttle body Parameters Symbols Input Estimated Units used in model values Values Resistance on Motor R m Ω Coulomb frictional torque Nm Back EMF constant Vs/rad Inductance on Motor L m mh Motor torque constant Nm/A Equivalent moment of inertia Kg. m 2 Equivalent viscous friction coefficient C equivalent Nm.s/rad Preload torque on spring reverse Nm direction Preload torque on spring forward Nm direction Spring constant for reverse direction Nm/degree Spring constant for forward direction Nm/degree 4.4. PROPOSED THROTTLE VALVE POSITION CONTROL SYSTEM Based on the throttle angle requirement from the estimation module, the throttle control module has to adjust the position the throttle valve by considering the actual position ( ) of the valve by means of the throttle position sensor (TPS). There is a position error of throttle valve ( ) due to the nonlinear behavior of the spring 75

11 and friction characteristics in the throttle body, hence PID based closed loop control system along with compensators is followed for maintaining the throttle angle using the TPS signal act as a feedback shown in figure LIMP HOME SPRING COMPENSATOR In the limp home dynamic region of the throttle valve, the initial torque is nonzero and there will not be any spring force acting because of the dual return spring. When the throttle is moved from mean position, there is a variation in the spring torque which creates the nonlinearity in the system. To eliminate the non-linearity created by the dual return springs at the limp home position, a feedforward compensator was developed based on the spring model as discussed in Section Gain compensation is provided based on various reference throttle angle at the given limp home position. The spring torque compensation is calculated based on the different reference throttle angle using the different cases mentioned in the eqn (4.6). Hence the compensated voltage ( u LH ) is given in the following equations, and K m gives a relation between motor stall voltage and corresponding stall torque. The resulted spring compensation voltage is feedforward into the throttle body system. u LH = (4.13) Figure.4.6. Electronic throttle body control system module with compensators 76

12 FRICTION COMPENSATOR Throttle plate creates a frictional torque (T static ) which opposes the direction of motion of butterfly valve while opening or closing. Unlike viscous friction which is a linear function, dry friction has to be compensated because of its non-linear relationship due to the change in the direction of the throttle. The static friction compensation in the control system is based on equation (eqn.4.8) of friction model. Based on the angular velocity in the model, the friction value and sign are determined in the system. Hence, the parameters such as the throttle angle error, direction of throttle valve, and angular velocity are used for the estimating the friction compensation voltage ( u F ). The corresponding voltage is feedforward into the control system which will provide a smooth compensation, in order to compensate the effects of friction in the system. u F = (4.14) PID CONTROLLER PID controller provides the required correction (U PID ) by comparing the required throttle angle with the actual value obtained from the throttle position sensor and it continues till the required throttle angle is achieved by minimizing the error between the required and actual throttle angle values. The tuning of the PID is accomplished through the Ziegler- Nichols method, in order to give the better stability in the control system. u PID = K P (θ req θ actual ) + K I + K D (θ req θ actual ) (4.15) The final control system output voltage (U Motor ) to the motor in the electronic throttle system is the summation of the compensating voltages from limp home and friction compensators along with output from the PID controller (u PID ). U Motor = u PID + u LH + u F (4.16) 77

13 4.5. HARDWARE IN LOOP (HIL) EXPERIMENTAL SETUP Generally in the control algorithm development process Hardware in Loop (HIL) experimental setup is utilized to test the control algorithm in the component level approach. Hardware-in-the-Loop (HIL) testing is a standard V model technique shown in figure.4.7 that is used for testing the control algorithms in complex ECU systems. Some of advantages of HIL approach are enhancing the quality of testing, tight development schedules, actual plant in not needed, save time and money. Fig.4.7. Standard V model approach followed in the HIL testing In order to test the performance of the proposed throttle position control system, an hardware in loop (HIL) experimental test setup has been developed. The test setup consists of ETB, H-bridge driver circuit, battery source, DSP board to interface the simulink code and hardware is developed as shown in figure.4.8. Developed SIMULINK model is run on the target hardware and based on the control signal the PWM signal is fed into the H-bridge drover circuit. For the PWM signal the motor driver supplies the current to rotate the motor shaft. Then the actual position position of the throttle vavle is measred from the thorrtle position sensor and feedback into the microcontroller board for accomplishing the closed loop feedback ELECTRONIC THROTTLE BODY The electronic throttle body utilized for this work is Bosch DVE5 model and and its serial number is Its operating range is in between 8.3 degrees to

14 degrees. The throttle position sensor located in ETB is a dual type potentiometer and the output voltage is varies in the range of 0V to 5V. Bosch throttle body consists of totally six pins in its construction, out of it two pins is for motor driving (positive and negative) and the remaining four pins is for throttle position sensor signal and supply. Figure.4.8. Experimental setup of the electronic throttle body system H-BRIDGE DRIVER CIRCUIT To operate the motor in a bi-directional manner and also to amplify the current, a driver circuit in the form H-bridge is required. In order to reduce the power consumption and also to smooth the current peaks the control signal from the microcontroller inside the EMS in the form of PWM signal is supplied to the H-bridge circuit. For this PWM signal information the H-bridge generates a motor driving power and based on the duty cycle the speed of the motor is controlled. The specification of H-bridge driver is employed to drive the motor is listed in Table

15 Table.4.2. Specification of the H-bridge driver circuit S.No Parameters Specification Units 1 Model No RKI Voltage rating V 3 Current rating 20 A 4 Absolute Maximum Peak Current 50 A 5 Output PWM - 6 No of pins 5-7 Frequency Hz DSP MICROCONTROLLER Digital signal processing (DSP) board is employed in the present work of 16 bit of for the evaluation of proposed control system in Matlab/Simulink platform. The DSP board acts as real time electronic control unit employed in the real engine control system application. The microcontroller board is connected to the throttle position sensor through four pin connection and the H-bridge is connected through 3 pin connections. Specification of the DSP board employed in the present work is tabulated in Table.4.3. Table.4.3. Specification of the H-bridge driver circuit S.No Parameters Specification Units 1 Chip No DSPIC33F - 2 Board name Explorer 16-3 Voltage rating V 4 Current from power supply ma 5 Operating Temperature + 25 C 6 No of pins Frequency 100 MHz 8 No of bits 8 bit 80

16 4.6. RESULTS AND DISCUSSIONS Performance of the proposed throttle position control system for tackling the nonlinearities such as friction and limp home spring position is examined for different throttle angle inputs to the control system. The proposed position control system along with HIL setup is developed in SIMULINK workspace and it is shown in Appendix-B. For testing the performance of the control system, the simulation is carried out in SIL and HIL mode. However, the results of HIL simulation are discussed in the following section for different throttle angle inputs. Hence position control system is simulated for sinusoidal and step, ramp based driving cycle throttle angle signals to the position control system. For these input signals performance output responses such as actual throttle angle measured from throttle position sensor (TPS) is compared with and without compensators. Also, the error between actual and reference throttle angle is compared between with and without compensators in the control system PERFORMANCE OF THE PROPOSED POSITION CONTROL SYSTEM FOR SINUSOIDAL THROTTLE ANGLE INPUT Figure.4.9. Actual throttle angle for sine input with and without compensators 81

17 Sinusoidal throttle angle input to the position control system is varied from 0 to 90 deg as shown in figure.4.9. Response of the actual and input throttle angle shows very minor difference with the presence of compensators in position control system. However, the variation is higher in lower and higher dip region of the sinusoidal curve. This is due to the mechanical limit of maximum angle 84.3 deg and minimum angle 8.3 deg is attained by the throttle valve. Though, the variation is minor very minor across in rest of the region between the input and actual throttle angle response. Variation between the actual responses of with and without compensators shows a higher diverge in the region of 40 to 84.5 deg. This is due to the existence of friction nonlinearity in this region and the friction is increased due to the variation of angle velocity is higher in this region. Figure Error between actual and required throttle angle without compensators Angular error between the actual and input throttle angle without compensators (limp home and friction) in position control system is shown in figure At the peak of sinusoidal curve the error is in the range of 5 deg and in the lower dip region error value is -11 deg. Such a higher value of error in the actual throttle angle shows the necessity of the position control system with compensators for handling the nonlinearities caused due to the frictions and limp home position springs. However, the error between actual and input throttle angle with compensators in control system shown in figure.4.11 depicts the error value in the range of -2.3 deg to +2.9 deg. This shows that the designed 82

18 compensator in the position control system is able handle the nonlinearities caused due to the friction and limp home position springs. Figure Error between actual and required throttle angle with compensators PERFORMANCE OF THE PROPOSED CONTROL SYSTEM FOR STEP SIGNAL BASED DRIVING CYCLE THROTTLE ANGLE INPUT Figure Actual throttle angle for step cycle with and without compensators 83

19 Variation of the actual throttle angle for step signal based driving cycle input to the position control is shown in figure Driving cycle throttle angle input is varied in step sequence from 0 deg to 90 deg of angle. Variations between the input throttle angle to the actual throttle angle is higher across the entire operating region for the control system without compensators. However, the variation of actual throttle is higher for the control system with compensators in the lower region of 8 to 15 deg. This is due to the default position angle and limp home position spring. Since, the initial spring torque has to be overcome by the throttle movement creates the nonlinearities in the operation. Also the error is more in the middle operating range of the position control system with compensators and this due to the existence of friction nonlinearities in this region is high. Figure Error between actual and required throttle angle without compensators Maximum error is varied between input and actual throttle angle in the range of - 10 to + 12 for the control system without compensators as shown in figure Error is more than 5 deg across entire peak of the step signal curve rather than the other regions. This is due to the increased friction nonlinearity as the higher peak is attained. Whereas, the error is reduced by employing the compensators in the control system and it is in the range of 4 to deg as shown in figure This is due to the presence of compensators in the control system is able to tackle the friction and limp home position spring nonlinearities. 84

20 Figure Error between actual and required throttle angle with compensators PERFORMANCE OF THE PROPOSED CONTROL SYSTEM FOR RAMP SIGNAL BASED DRIVING CYCLE THROTTLE ANGLE INPUT Figure Actual throttle angle for ramp cycle with and without compensators Actual throttle angle response for ramp signal based driving cycle input to the position control system is plotted in figure Error between the input and measured actual throttle angle from throttle position sensor is high in the lower region of 8.3 deg to 28 deg. As this region is limp home position and the throttle angle has to spring torque and the error is more for the control system without compensators. Input and actual 85

21 throttle angle is following closely in rest of the region for the control system with compensators and this is due to the efficient handling the nonlinearities present on the electronic throttle body. Figure Error between actual and required throttle angle without compensators Figure Error between actual and required throttle angle with compensators The error value of 8 deg in the lower limp home region of the throttle position without compensators in the control system is noticeable in the curve shown in figure Whereas, the error value in the same region for the presence of compensators 86

22 is in the range of 5 deg as shown in figure In the rest of the place the error is limited and close to zero degrees of angle. Hence, the designed position control system is capable to reduce the effects of nonlinearities present in the electronic throttle body and the control system output is also able to follow the required input throttle angle closely in entire operating region ANGULAR ERROR OF PROPOSED POSITION CONTROL ALGORITHM FOR DIFFERENT THROTTLE ANGLE INPUTS In the proposed control system, the complexity in controlling the electronic throttle system due to the nonlinearities such as friction and limphome spring is also addressed in this strategy using the mathematical models and compensators. Performance of the proposed position control system with compensators (friction and limphome) based on PID controller has been tested by hardware in loop (HIL) test setup for its performance effectiveness by providing the desired throttle opening angle in the form random sine, ramp and step cycle inputs. Figure Angular error of throttle angle input to position control system 87

23 The actual throttle angle response for these three input signals obtained from the throttle position sensor (TPS) proves that the designed control system has the ability to follow the input throttle angle for both simulated and actual conditions. Maximum angular error (desired angle and actual angle) for the three signal inputs is depicted in figure.4.18 which shows maximum error for all three cases for the position control system without compensators. Proposed control strategy with compensators for friction and limp home nonlinearities has the ability to reduce the position error of 50% as compare to the control system without compensators. Hence, the proposed throttle position control system has ability to handle the nonlinearities such as friction and limp home position spring in the electronic throttle body (ETB) and improves the accurate positioning of the throttle valve. However, the developed position control system able to handle the nonlinearities has to be functioned at all operating conditions. Throttle position sensor (TPS) act as a feedback element in the position control system, which has to be monitored for its effective operation across the operating conditions. The consistency and reliability of the throttle position sensor output needs to be monitored appropriately to overcome hardware failure related problems. Hence, soft sensors or virtual sensor has to be developed to overcome the failures and malfunctions of the throttle position sensors in the position control system. 88

Wind Turbine Emulation Experiment

Wind Turbine Emulation Experiment Wind Turbine Emulation Experiment Aim: Study of static and dynamic characteristics of wind turbine (WT) by emulating the wind turbine behavior by means of a separately-excited DC motor using LabVIEW and

More information

CHAPTER THREE DC MOTOR OVERVIEW AND MATHEMATICAL MODEL

CHAPTER THREE DC MOTOR OVERVIEW AND MATHEMATICAL MODEL CHAPTER THREE DC MOTOR OVERVIEW AND MATHEMATICAL MODEL 3.1 Introduction Almost every mechanical movement that we see around us is accomplished by an electric motor. Electric machines are a means of converting

More information

QuickStick Repeatability Analysis

QuickStick Repeatability Analysis QuickStick Repeatability Analysis Purpose This application note presents the variables that can affect the repeatability of positioning using a QuickStick system. Introduction Repeatability and accuracy

More information

Figure1: Kone EcoDisc electric elevator drive [2]

Figure1: Kone EcoDisc electric elevator drive [2] Implementation of an Elevator s Position-Controlled Electric Drive 1 Ihedioha Ahmed C. and 2 Anyanwu A.M 1 Enugu State University of Science and Technology Enugu, Nigeria 2 Transmission Company of Nigeria

More information

EE 370L Controls Laboratory. Laboratory Exercise #E1 Motor Control

EE 370L Controls Laboratory. Laboratory Exercise #E1 Motor Control 1. Learning Objectives EE 370L Controls Laboratory Laboratory Exercise #E1 Motor Control Department of Electrical and Computer Engineering University of Nevada, at Las Vegas To demonstrate the concept

More information

Mechatronics Chapter 10 Actuators 10-3

Mechatronics Chapter 10 Actuators 10-3 MEMS1049 Mechatronics Chapter 10 Actuators 10-3 Electric Motor DC Motor DC Motor DC Motor DC Motor DC Motor Motor terminology Motor field current interaction Motor commutator It consists of a ring of

More information

Appendix A: Motion Control Theory

Appendix A: Motion Control Theory Appendix A: Motion Control Theory Objectives The objectives for this appendix are as follows: Learn about valve step response. Show examples and terminology related to valve and system damping. Gain an

More information

FEASIBILITY STYDY OF CHAIN DRIVE IN WATER HYDRAULIC ROTARY JOINT

FEASIBILITY STYDY OF CHAIN DRIVE IN WATER HYDRAULIC ROTARY JOINT FEASIBILITY STYDY OF CHAIN DRIVE IN WATER HYDRAULIC ROTARY JOINT Antti MAKELA, Jouni MATTILA, Mikko SIUKO, Matti VILENIUS Institute of Hydraulics and Automation, Tampere University of Technology P.O.Box

More information

Semi-Active Suspension for an Automobile

Semi-Active Suspension for an Automobile Semi-Active Suspension for an Automobile Pavan Kumar.G 1 Mechanical Engineering PESIT Bangalore, India M. Sambasiva Rao 2 Mechanical Engineering PESIT Bangalore, India Abstract Handling characteristics

More information

Chapter 2 Dynamic Analysis of a Heavy Vehicle Using Lumped Parameter Model

Chapter 2 Dynamic Analysis of a Heavy Vehicle Using Lumped Parameter Model Chapter 2 Dynamic Analysis of a Heavy Vehicle Using Lumped Parameter Model The interaction between a vehicle and the road is a very complicated dynamic process, which involves many fields such as vehicle

More information

G Prasad 1, Venkateswara Reddy M 2, Dr. P V N Prasad 3, Dr. G Tulasi Ram Das 4

G Prasad 1, Venkateswara Reddy M 2, Dr. P V N Prasad 3, Dr. G Tulasi Ram Das 4 Speed control of Brushless DC motor with DSP controller using Matlab G Prasad 1, Venkateswara Reddy M 2, Dr. P V N Prasad 3, Dr. G Tulasi Ram Das 4 1 Department of Electrical and Electronics Engineering,

More information

Using MATLAB/ Simulink in the designing of Undergraduate Electric Machinery Courses

Using MATLAB/ Simulink in the designing of Undergraduate Electric Machinery Courses Using MATLAB/ Simulink in the designing of Undergraduate Electric Machinery Courses Mostafa.A. M. Fellani, Daw.E. Abaid * Control Engineering department Faculty of Electronics Technology, Beni-Walid, Libya

More information

Mathematical Modelling and Simulation Of Semi- Active Suspension System For An 8 8 Armoured Wheeled Vehicle With 11 DOF

Mathematical Modelling and Simulation Of Semi- Active Suspension System For An 8 8 Armoured Wheeled Vehicle With 11 DOF Mathematical Modelling and Simulation Of Semi- Active Suspension System For An 8 8 Armoured Wheeled Vehicle With 11 DOF Sujithkumar M Sc C, V V Jagirdar Sc D and MW Trikande Sc G VRDE, Ahmednagar Maharashtra-414006,

More information

Tuning the System. I. Introduction to Tuning II. Understanding System Response III. Control Scheme Theory IV. BCU Settings and Parameter Ranges

Tuning the System. I. Introduction to Tuning II. Understanding System Response III. Control Scheme Theory IV. BCU Settings and Parameter Ranges I. Introduction to Tuning II. Understanding System Response III. Control Scheme Theory IV. BCU Settings and Parameter Ranges a. Determining Initial Settings The Basics b. Determining Initial Settings -

More information

Force-feedback control of steering wheels

Force-feedback control of steering wheels Scuola universitaria professionale della Svizzera italiana Dipartimento Tecnologie Innovative Mechatronics laboratory Force-feedback control of steering wheels Scope Tasks Keywords Force-feedback control

More information

NIMA RASHVAND MODELLING & CRUISE CONTROL OF A MOBILE MACHINE WITH HYDROSTATIC POWER TRANSMISSION

NIMA RASHVAND MODELLING & CRUISE CONTROL OF A MOBILE MACHINE WITH HYDROSTATIC POWER TRANSMISSION I NIMA RASHVAND MODELLING & CRUISE CONTROL OF A MOBILE MACHINE WITH HYDROSTATIC POWER TRANSMISSION MASTER OF SCIENCE THESIS Examiners: Professor Kalevi Huhtala Dr Reza Ghabcheloo The thesis is approved

More information

TRANSMISSION COMPUTATIONAL MODEL IN SIMULINK

TRANSMISSION COMPUTATIONAL MODEL IN SIMULINK TRANSMISSION COMPUTATIONAL MODEL IN SIMULINK Pavel Kučera 1, Václav Píštěk 2 Summary: The article describes the creation of a transmission and a clutch computational model. These parts of the powertrain

More information

The MathWorks Crossover to Model-Based Design

The MathWorks Crossover to Model-Based Design The MathWorks Crossover to Model-Based Design The Ohio State University Kerem Koprubasi, Ph.D. Candidate Mechanical Engineering The 2008 Challenge X Competition Benefits of MathWorks Tools Model-based

More information

CHAPTER 3 TRANSIENT STABILITY ENHANCEMENT IN A REAL TIME SYSTEM USING STATCOM

CHAPTER 3 TRANSIENT STABILITY ENHANCEMENT IN A REAL TIME SYSTEM USING STATCOM 61 CHAPTER 3 TRANSIENT STABILITY ENHANCEMENT IN A REAL TIME SYSTEM USING STATCOM 3.1 INTRODUCTION The modeling of the real time system with STATCOM using MiPower simulation software is presented in this

More information

CHAPTER 6 MECHANICAL SHOCK TESTS ON DIP-PCB ASSEMBLY

CHAPTER 6 MECHANICAL SHOCK TESTS ON DIP-PCB ASSEMBLY 135 CHAPTER 6 MECHANICAL SHOCK TESTS ON DIP-PCB ASSEMBLY 6.1 INTRODUCTION Shock is often defined as a rapid transfer of energy to a mechanical system, which results in a significant increase in the stress,

More information

Preliminary Study on Quantitative Analysis of Steering System Using Hardware-in-the-Loop (HIL) Simulator

Preliminary Study on Quantitative Analysis of Steering System Using Hardware-in-the-Loop (HIL) Simulator TECHNICAL PAPER Preliminary Study on Quantitative Analysis of Steering System Using Hardware-in-the-Loop (HIL) Simulator M. SEGAWA M. HIGASHI One of the objectives in developing simulation methods is to

More information

Experimental Characterization of Gas Filled Hydraulic Damper Using Ramp Excitation

Experimental Characterization of Gas Filled Hydraulic Damper Using Ramp Excitation 2016 IJSRSET Volume 2 Issue 5 Print ISSN: 2395-1990 Online ISSN : 2394-4099 Themed Section: Engineering and Technology Experimental Characterization of Gas Filled Hydraulic Damper Using Ramp Excitation

More information

Predictive Control Strategies using Simulink

Predictive Control Strategies using Simulink Example slide Predictive Control Strategies using Simulink Kiran Ravindran, Ashwini Athreya, HEV-SW, EE/MBRDI March 2014 Project Overview 2 Predictive Control Strategies using Simulink Kiran Ravindran

More information

STUDY OF MODELLING & DEVELOPMENT OF ANTILOCK BRAKING SYSTEM

STUDY OF MODELLING & DEVELOPMENT OF ANTILOCK BRAKING SYSTEM STUDY OF MODELLING & DEVELOPMENT OF ANTILOCK BRAKING SYSTEM VikasFadat 1, AvinashDhage 2, AkshayGaikwad 3 1,2,3 B.E. Scholar BVCOE&RI Nashik(India) ABSTARCT Antiknock braking systems are used in modern

More information

VALIDATION OF A HUMAN-AND-HARDWARE-IN-THE- LOOP CONTROL ALGORITHM

VALIDATION OF A HUMAN-AND-HARDWARE-IN-THE- LOOP CONTROL ALGORITHM U.P.B. Sci. Bull., Series D, Vol. 76, Iss. 4, 04 ISSN 454-58 VALIDATION OF A HUMAN-AND-HARDWARE-IN-THE- LOOP CONTROL ALGORITHM Ionuţ STOICA, Marius BĂŢĂUŞ, Mihai NEGRUŞ This study proposes the development

More information

Linear Flexible Joint Cart Plus Single Inverted Pendulum (LFJC+SIP)

Linear Flexible Joint Cart Plus Single Inverted Pendulum (LFJC+SIP) Linear Motion Servo Plants: IP01 and IP02 Linear Flexible Joint Cart Plus Single Inverted Pendulum (LFJC+SIP) User Manual Table of Contents 1. Linear Flexible Joint Cart Plus Single Inverted Pendulum System

More information

Designing for Reliability and Robustness with MATLAB

Designing for Reliability and Robustness with MATLAB Designing for Reliability and Robustness with MATLAB Parameter Estimation and Tuning Sensitivity Analysis and Reliability Design of Experiments (DoE) and Calibration U. M. Sundar Senior Application Engineer

More information

Modelling, Simulation and Control of an Automotive Clutch System

Modelling, Simulation and Control of an Automotive Clutch System Modelling, Simulation and Control of an Automotive Clutch System Abstract In this paper it is intended to optimize the performance of the automotive clutch system. The modeling and Simulation of an automotive

More information

Efficient and Effective bearing performance evaluation

Efficient and Effective bearing performance evaluation Efficient and Effective bearing performance evaluation The right software platform for dedicated technical questions, based on the right knowledge and design criteria A typical design process Changes SKF

More information

Modeling the Neuro-Fuzzy Control with the Dynamic Model of the Permanent Magnet DC Motor

Modeling the Neuro-Fuzzy Control with the Dynamic Model of the Permanent Magnet DC Motor SISY 2006 4 th Serbian-Hungarian Joint Symposium on Intelligent Systems Modeling the Neuro-Fuzzy Control with the Dynamic Model of the Permanent Magnet DC Motor Ottó Búcsú, Gábor Kávai, István Kecskés,

More information

Introducing Galil's New H-Bot Firmware

Introducing Galil's New H-Bot Firmware March-16 Introducing Galil's New H-Bot Firmware There are many applications that require movement in planar space, or movement along two perpendicular axes. This two dimensional system can be fitted with

More information

Fuzzy based Adaptive Control of Antilock Braking System

Fuzzy based Adaptive Control of Antilock Braking System Fuzzy based Adaptive Control of Antilock Braking System Ujwal. P Krishna. S M.Tech Mechatronics, Asst. Professor, Mechatronics VIT University, Vellore, India VIT university, Vellore, India Abstract-ABS

More information

Dynamic Behavior Analysis of Hydraulic Power Steering Systems

Dynamic Behavior Analysis of Hydraulic Power Steering Systems Dynamic Behavior Analysis of Hydraulic Power Steering Systems Y. TOKUMOTO * *Research & Development Center, Control Devices Development Department Research regarding dynamic modeling of hydraulic power

More information

China. Keywords: Electronically controled Braking System, Proportional Relay Valve, Simulation, HIL Test

China. Keywords: Electronically controled Braking System, Proportional Relay Valve, Simulation, HIL Test Applied Mechanics and Materials Online: 2013-10-11 ISSN: 1662-7482, Vol. 437, pp 418-422 doi:10.4028/www.scientific.net/amm.437.418 2013 Trans Tech Publications, Switzerland Simulation and HIL Test for

More information

Application of Steering Robot in the Test of Vehicle Dynamic Characteristics

Application of Steering Robot in the Test of Vehicle Dynamic Characteristics 3rd International Conference on Mechatronics, Robotics and Automation (ICMRA 2) Application of Steering Robot in the Test of Vehicle Dynamic Characteristics Runqing Guo,a *, Zhaojuan Jiang 2,b and Lin

More information

QUESTION BANK SPECIAL ELECTRICAL MACHINES

QUESTION BANK SPECIAL ELECTRICAL MACHINES SEVENTH SEMESTER EEE QUESTION BANK SPECIAL ELECTRICAL MACHINES TWO MARK QUESTIONS 1. What is a synchronous reluctance 2. What are the types of rotor in synchronous reluctance 3. Mention some applications

More information

APPLICATION OF VARIABLE FREQUENCY TRANSFORMER (VFT) FOR INTEGRATION OF WIND ENERGY SYSTEM

APPLICATION OF VARIABLE FREQUENCY TRANSFORMER (VFT) FOR INTEGRATION OF WIND ENERGY SYSTEM APPLICATION OF VARIABLE FREQUENCY TRANSFORMER (VFT) FOR INTEGRATION OF WIND ENERGY SYSTEM A THESIS Submitted in partial fulfilment of the requirements for the award of the degree of DOCTOR OF PHILOSOPHY

More information

3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)

3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015) 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015) A High Dynamic Performance PMSM Sensorless Algorithm Based on Rotor Position Tracking Observer Tianmiao Wang

More information

PERFORMANCE ANALYSIS OF BLDC MOTOR SPEED CONTROL USING PI CONTROLLER

PERFORMANCE ANALYSIS OF BLDC MOTOR SPEED CONTROL USING PI CONTROLLER PERFORMANCE ANALYSIS OF BLDC MOTOR SPEED CONTROL USING PI CONTROLLER Karishma P.Wankhede 1, K. Vadirajacharya 2 1 M.Tech.II Yr, 2 Associate Professor,Electrical Engineering Department Dr. BabasahebAmbedkar

More information

Multi Body Dynamic Analysis of Slider Crank Mechanism to Study the effect of Cylinder Offset

Multi Body Dynamic Analysis of Slider Crank Mechanism to Study the effect of Cylinder Offset Multi Body Dynamic Analysis of Slider Crank Mechanism to Study the effect of Cylinder Offset Vikas Kumar Agarwal Deputy Manager Mahindra Two Wheelers Ltd. MIDC Chinchwad Pune 411019 India Abbreviations:

More information

Calibration. DOE & Statistical Modeling

Calibration. DOE & Statistical Modeling ETAS Webinar - ASCMO Calibration. DOE & Statistical Modeling Injection Consumption Ignition Torque AFR HC EGR P-rail NOx Inlet-cam Outlet-cam 1 1 Soot T-exhaust Roughness What is Design of Experiments?

More information

Application Information

Application Information Moog Components Group manufactures a comprehensive line of brush-type and brushless motors, as well as brushless controllers. The purpose of this document is to provide a guide for the selection and application

More information

SP4 DOCUMENTATION. 1. SP4 Reference manual SP4 console.

SP4 DOCUMENTATION. 1. SP4 Reference manual SP4 console. SP4 DOCUMENTATION 1. SP4 Reference manual.... 1 1.1. SP4 console... 1 1.2 Configuration... 3 1.3 SP4 I/O module.... 6 2. Dynamometer Installation... 7 2.1. Installation parts.... 8 2.2. Connectors and

More information

Active Control of Sheet Motion for a Hot-Dip Galvanizing Line. Dr. Stuart J. Shelley Dr. Thomas D. Sharp Mr. Ronald C. Merkel

Active Control of Sheet Motion for a Hot-Dip Galvanizing Line. Dr. Stuart J. Shelley Dr. Thomas D. Sharp Mr. Ronald C. Merkel Active Control of Sheet Motion for a Hot-Dip Galvanizing Line Dr. Stuart J. Shelley Dr. Thomas D. Sharp Mr. Ronald C. Merkel Sheet Dynamics, Ltd. 1776 Mentor Avenue, Suite 17 Cincinnati, Ohio 45242 Active

More information

International Journal of Advance Research in Engineering, Science & Technology

International Journal of Advance Research in Engineering, Science & Technology Impact Factor (SJIF): 4.542 International Journal of Advance Research in Engineering, Science & Technology e-issn: 2393-9877, p-issn: 2394-2444 Volume 4, Issue 4, April-2017 Simulation and Analysis for

More information

Project Summary Fuzzy Logic Control of Electric Motors and Motor Drives: Feasibility Study

Project Summary Fuzzy Logic Control of Electric Motors and Motor Drives: Feasibility Study EPA United States Air and Energy Engineering Environmental Protection Research Laboratory Agency Research Triangle Park, NC 277 Research and Development EPA/600/SR-95/75 April 996 Project Summary Fuzzy

More information

Active Systems Design: Hardware-In-the-Loop Simulation

Active Systems Design: Hardware-In-the-Loop Simulation Active Systems Design: Hardware-In-the-Loop Simulation Eng. Aldo Sorniotti Eng. Gianfrancesco Maria Repici Departments of Mechanics and Aerospace Politecnico di Torino C.so Duca degli Abruzzi - 10129 Torino

More information

COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING QUESTION BANK SUBJECT CODE & NAME : EE 1001 SPECIAL ELECTRICAL MACHINES

COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING QUESTION BANK SUBJECT CODE & NAME : EE 1001 SPECIAL ELECTRICAL MACHINES KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING QUESTION BANK SUBJECT CODE & NAME : EE 1001 SPECIAL ELECTRICAL MACHINES YEAR / SEM : IV / VII UNIT I SYNCHRONOUS RELUCTANCE

More information

Understanding the benefits of using a digital valve controller. Mark Buzzell Business Manager, Metso Flow Control

Understanding the benefits of using a digital valve controller. Mark Buzzell Business Manager, Metso Flow Control Understanding the benefits of using a digital valve controller Mark Buzzell Business Manager, Metso Flow Control Evolution of Valve Positioners Digital (Next Generation) Digital (First Generation) Analog

More information

Step Motor. Mechatronics Device Report Yisheng Zhang 04/02/03. What Is A Step Motor?

Step Motor. Mechatronics Device Report Yisheng Zhang 04/02/03. What Is A Step Motor? Step Motor What is a Step Motor? How Do They Work? Basic Types: Variable Reluctance, Permanent Magnet, Hybrid Where Are They Used? How Are They Controlled? How To Select A Step Motor and Driver Types of

More information

CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION 1 CHAPTER 1 INTRODUCTION 1.1 MOTIVATION OF THE RESEARCH Electrical Machinery is more than 100 years old. While new types of machines have emerged recently (for example stepper motor, switched reluctance

More information

Modeling, Design and Simulation of Active Suspension System Frequency Response Controller using Automated Tuning Technique

Modeling, Design and Simulation of Active Suspension System Frequency Response Controller using Automated Tuning Technique Modeling, Design and Simulation of Active Suspension System Frequency Response Controller using Automated Tuning Technique Omorodion Ikponwosa Ignatius Obinabo C.E Evbogbai M.J.E. Abstract Car suspension

More information

University Of California, Berkeley Department of Mechanical Engineering. ME 131 Vehicle Dynamics & Control (4 units)

University Of California, Berkeley Department of Mechanical Engineering. ME 131 Vehicle Dynamics & Control (4 units) CATALOG DESCRIPTION University Of California, Berkeley Department of Mechanical Engineering ME 131 Vehicle Dynamics & Control (4 units) Undergraduate Elective Syllabus Physical understanding of automotive

More information

Speed Control of BLDC motor using ANFIS over conventional Fuzzy logic techniques

Speed Control of BLDC motor using ANFIS over conventional Fuzzy logic techniques Speed Control of BLDC motor using ANFIS over conventional Fuzzy logic techniques V.SURESH 1, JOSEPH JAWAHAR 2 1. Department of ECE, Mar Ephraem College of Engineering and Technology, Marthandam, INDIA.

More information

A dream? Dr. Jürgen Bredenbeck Tire Technology Expo, February 2012 Cologne

A dream? Dr. Jürgen Bredenbeck Tire Technology Expo, February 2012 Cologne Rolling resistance measurement on the road: A dream? Dr. Jürgen Bredenbeck Tire Technology Expo, 14.-16. February 2012 Cologne Content Motivation Introduction of the used Measurement Equipment Introduction

More information

Application Notes. Calculating Mechanical Power Requirements. P rot = T x W

Application Notes. Calculating Mechanical Power Requirements. P rot = T x W Application Notes Motor Calculations Calculating Mechanical Power Requirements Torque - Speed Curves Numerical Calculation Sample Calculation Thermal Calculations Motor Data Sheet Analysis Search Site

More information

Chapter 5. Design of Control Mechanism of Variable Suspension System. 5.1: Introduction: Objective of the Mechanism:

Chapter 5. Design of Control Mechanism of Variable Suspension System. 5.1: Introduction: Objective of the Mechanism: 123 Chapter 5 Design of Control Mechanism of Variable Suspension System 5.1: Introduction: Objective of the Mechanism: In this section, Design, control and working of the control mechanism for varying

More information

Hydraulic Proportional and Closed Loop System Design

Hydraulic Proportional and Closed Loop System Design Hydraulic Proportional and Closed Loop System Design Neal Hanson Product Manager Industrial Valves and Electrohydraulics 1 Electrohydraulics Contents 1. Electrohydraulic Principles 2. Proportional Valve

More information

Courtesy of Steven Engineering, Inc - (800) PATENTED

Courtesy of Steven Engineering, Inc - (800) PATENTED PRECISION RING DRIVE SYSTEMS Based on Nexen s innovative Roller Pinion technology, Nexen Ring Drive Systems come complete with a precision grade, high capacity bearing and drive mechanism in a rigid housing.

More information

One-Cycle Average Torque Control of Brushless DC Machine Drive Systems

One-Cycle Average Torque Control of Brushless DC Machine Drive Systems One-Cycle Average Torque Control of Brushless DC Machine Drive Systems Najma P.I. 1, Sakkeer Hussain C.K. 2 P.G. Student, Department of Electrical and Electronics Engineering, MEA Engineering College,

More information

Versatile Rotary Actuator Device VRAD 506 series (licenses available for manufacturing)

Versatile Rotary Actuator Device VRAD 506 series (licenses available for manufacturing) APPLICATIONS Optical beam chopper/shutter Optical element positioning Vending machine actuator Office equipment actuator Air damper/door actuator Automobile actuator Fluid valve actuator FEATURES AND BENEFITS

More information

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [Sarvi, 1(9): Nov., 2012] ISSN: 2277-9655 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY A Sliding Mode Controller for DC/DC Converters. Mohammad Sarvi 2, Iman Soltani *1, NafisehNamazypour

More information

837. Dynamics of hybrid PM/EM electromagnetic valve in SI engines

837. Dynamics of hybrid PM/EM electromagnetic valve in SI engines 837. Dynamics of hybrid PM/EM electromagnetic valve in SI engines Yaojung Shiao 1, Ly Vinh Dat 2 Department of Vehicle Engineering, National Taipei University of Technology, Taipei, Taiwan, R. O. C. E-mail:

More information

Motional emf. as long as the velocity, field, and length are mutually perpendicular.

Motional emf. as long as the velocity, field, and length are mutually perpendicular. Motional emf Motional emf is the voltage induced across a conductor moving through a magnetic field. If a metal rod of length L moves at velocity v through a magnetic field B, the motional emf is: ε =

More information

Friction and Vibration Characteristics of Pneumatic Cylinder

Friction and Vibration Characteristics of Pneumatic Cylinder The 3rd International Conference on Design Engineering and Science, ICDES 214 Pilsen, Czech Republic, August 31 September 3, 214 Friction and Vibration Characteristics of Pneumatic Cylinder Yasunori WAKASAWA*

More information

Fuzzy Logic Controller for BLDC Permanent Magnet Motor Drives

Fuzzy Logic Controller for BLDC Permanent Magnet Motor Drives International Journal of Electrical & Computer Sciences IJECS-IJENS Vol: 11 No: 02 12 Fuzzy Logic Controller for BLDC Permanent Magnet Motor Drives Tan Chee Siong, Baharuddin Ismail, Siti Fatimah Siraj,

More information

Simulation of Indirect Field Oriented Control of Induction Machine in Hybrid Electrical Vehicle with MATLAB Simulink

Simulation of Indirect Field Oriented Control of Induction Machine in Hybrid Electrical Vehicle with MATLAB Simulink Simulation of Indirect Field Oriented Control of Induction Machine in Hybrid Electrical Vehicle with MATLAB Simulink Kohan Sal Lotf Abad S., Hew W. P. Department of Electrical Engineering, Faculty of Engineering,

More information

Five Cool Things You Can Do With Powertrain Blockset The MathWorks, Inc. 1

Five Cool Things You Can Do With Powertrain Blockset The MathWorks, Inc. 1 Five Cool Things You Can Do With Powertrain Blockset Mike Sasena, PhD Automotive Product Manager 2017 The MathWorks, Inc. 1 FTP75 Simulation 2 Powertrain Blockset Value Proposition Perform fuel economy

More information

The control of a free-piston engine generator. Part 2: engine dynamics and piston motion control

The control of a free-piston engine generator. Part 2: engine dynamics and piston motion control The control of a free-piston engine generator. Part 2: engine dynamics and piston motion control R. Mikalsen, A.P. Roskilly Sir Joseph Swan Institute for Energy Research, Newcastle University, Newcastle

More information

Computer Model for a Parallel Hybrid Electric Vehicle (PHEV) with CVT

Computer Model for a Parallel Hybrid Electric Vehicle (PHEV) with CVT Proceedings of the American Control Conference Chicago, Illinois June 2000 Computer Model for a Parallel Hybrid Electric Vehicle (PHEV) with CVT Barry Powell, Xianjie Zhang, Robert Baraszu Scientific Research

More information

Motor Technologies Motor Sizing 101

Motor Technologies Motor Sizing 101 Motor Technologies Motor Sizing 101 TN-2003 REV 161221 PURPOSE This technical note addresses basic motor sizing with simple calculations that can be done to generally size any motor application. It will

More information

Modeling and Identification of a Mechatronic Exhaust Gas Recirculation Actuator of an Internal Combustion Engine

Modeling and Identification of a Mechatronic Exhaust Gas Recirculation Actuator of an Internal Combustion Engine 21 American Control Conference Marriott Waterfront, Baltimore, MD, USA June 3-July 2, 21 WeC19.5 Modeling and Identification of a Mechatronic Exhaust Gas Recirculation Actuator of an Internal Combustion

More information

CHAPTER 4 MODELING OF PERMANENT MAGNET SYNCHRONOUS GENERATOR BASED WIND ENERGY CONVERSION SYSTEM

CHAPTER 4 MODELING OF PERMANENT MAGNET SYNCHRONOUS GENERATOR BASED WIND ENERGY CONVERSION SYSTEM 47 CHAPTER 4 MODELING OF PERMANENT MAGNET SYNCHRONOUS GENERATOR BASED WIND ENERGY CONVERSION SYSTEM 4.1 INTRODUCTION Wind energy has been the subject of much recent research and development. The only negative

More information

Application Note CTAN #234

Application Note CTAN #234 Application Note CTAN #234 The Application Note is pertinent to the Unidrive SP Family A Guide to Tuning the Unidrive SP Introduction: The Unidrive SP provides a number of features that greatly assist

More information

A SIMPLIFIED METHOD FOR ENERGIZING THE SOLENOID COIL BASED ON ELECTROMAGNETIC RELAYS

A SIMPLIFIED METHOD FOR ENERGIZING THE SOLENOID COIL BASED ON ELECTROMAGNETIC RELAYS A SIMPLIFIED METHOD FOR ENERGIZING THE SOLENOID COIL BASED ON ELECTROMAGNETIC RELAYS Munaf Fathi Badr Mechanical Engineering Department, College of Engineering Mustansiriyah University, Baghdad, Iraq E-Mail:

More information

Development of Engine Clutch Control for Parallel Hybrid

Development of Engine Clutch Control for Parallel Hybrid EVS27 Barcelona, Spain, November 17-20, 2013 Development of Engine Clutch Control for Parallel Hybrid Vehicles Joonyoung Park 1 1 Hyundai Motor Company, 772-1, Jangduk, Hwaseong, Gyeonggi, 445-706, Korea,

More information

Conceptual design of planetary gearbox system for constant generator speed in hydro power plant

Conceptual design of planetary gearbox system for constant generator speed in hydro power plant Conceptual design of planetary gearbox system for constant generator speed in hydro power plant Bhargav 1, M. A. Parameshwaran 2, Sivaraj S. 2 and Nithin Venkataram 1*, 1 Dept. of Mechanical and Manufacturing

More information

DEVELOPMENT OF ELECTRONICALLY CONTROLLED PROPORTIONING DIRECTIONAL SERVO VALVES PROJECT REFERENCE NO.: 38S1453

DEVELOPMENT OF ELECTRONICALLY CONTROLLED PROPORTIONING DIRECTIONAL SERVO VALVES PROJECT REFERENCE NO.: 38S1453 DEVELOPMENT OF ELECTRONICALLY CONTROLLED PROPORTIONING DIRECTIONAL SERVO VALVES COLLEGE BRANCH GUIDE PROJECT REFERENCE NO.: 38S1453 : BAPUJI INSTITUTE OF ENGINEERING AND TECHNOLOGY, DAVANGERE : MECHANICAL

More information

Familiarize yourself with the pressure loss phenomenon. The Discussion of this exercise covers the following point:

Familiarize yourself with the pressure loss phenomenon. The Discussion of this exercise covers the following point: Exercise 3-2 Pressure Loss EXERCISE OBJECTIVE Familiarize yourself with the pressure loss phenomenon. DISCUSSION OUTLINE The Discussion of this exercise covers the following point: Pressure loss Major

More information

MODELING SUSPENSION DAMPER MODULES USING LS-DYNA

MODELING SUSPENSION DAMPER MODULES USING LS-DYNA MODELING SUSPENSION DAMPER MODULES USING LS-DYNA Jason J. Tao Delphi Automotive Systems Energy & Chassis Systems Division 435 Cincinnati Street Dayton, OH 4548 Telephone: (937) 455-6298 E-mail: Jason.J.Tao@Delphiauto.com

More information

SPMM OUTLINE SPECIFICATION - SP20016 issue 2 WHAT IS THE SPMM 5000?

SPMM OUTLINE SPECIFICATION - SP20016 issue 2 WHAT IS THE SPMM 5000? SPMM 5000 OUTLINE SPECIFICATION - SP20016 issue 2 WHAT IS THE SPMM 5000? The Suspension Parameter Measuring Machine (SPMM) is designed to measure the quasi-static suspension characteristics that are important

More information

A Comparative Analysis of Speed Control Techniques of Dc Motor Based on Thyristors

A Comparative Analysis of Speed Control Techniques of Dc Motor Based on Thyristors International Journal of Engineering and Technology Volume 6 No.7, July, 2016 A Comparative Analysis of Speed Control Techniques of Dc Motor Based on Thyristors Nwosu A.W 1 and Nwanoro, G. C 2 1 National

More information

Design and Experimental Study on Digital Speed Control System of a Diesel Generator

Design and Experimental Study on Digital Speed Control System of a Diesel Generator Research Journal of Applied Sciences, Engineering and Technology 6(14): 2584-2588, 2013 ISSN: 2040-7459; e-issn: 2040-7467 Maxwell Scientific Organization, 2013 Submitted: December 28, 2012 Accepted: February

More information

Analysis and control of vehicle steering wheel angular vibrations

Analysis and control of vehicle steering wheel angular vibrations Analysis and control of vehicle steering wheel angular vibrations T. LANDREAU - V. GILLET Auto Chassis International Chassis Engineering Department Summary : The steering wheel vibration is analyzed through

More information

A Comprehensive Study on Speed Control of DC Motor with Field and Armature Control R.Soundara Rajan Dy. General Manager, Bharat Dynamics Limited

A Comprehensive Study on Speed Control of DC Motor with Field and Armature Control R.Soundara Rajan Dy. General Manager, Bharat Dynamics Limited RESEARCH ARTICLE OPEN ACCESS A Comprehensive Study on Speed Control of DC Motor with Field and Armature Control R.Soundara Rajan Dy. General Manager, Bharat Dynamics Limited Abstract: The aim of this paper

More information

Key words: torque sensor, force sensor, torque measurement, embedded sensor, planar coils, pcb coils, ferrite, planar system

Key words: torque sensor, force sensor, torque measurement, embedded sensor, planar coils, pcb coils, ferrite, planar system Contact-free electro-magnetic reactance based mechanical tension sensors Anatol Schwersenz; Philipp Cörlin; Christian Leiser; Tobias Kitzler; Tobias Senkbeil; ; Sebastian Schwiertz; Lutz May 1 TRAFAG GmbH

More information

Development of a Clutch Control System for a Hybrid Electric Vehicle with One Motor and Two Clutches

Development of a Clutch Control System for a Hybrid Electric Vehicle with One Motor and Two Clutches Development of a Clutch Control System for a Hybrid Electric Vehicle with One Motor and Two Clutches Kazutaka Adachi*, Hiroyuki Ashizawa**, Sachiyo Nomura***, Yoshimasa Ochi**** *Nissan Motor Co., Ltd.,

More information

SECTION A DYNAMICS. Attempt any two questions from this section

SECTION A DYNAMICS. Attempt any two questions from this section SECTION A DYNAMICS Question 1 (a) What is the difference between a forced vibration and a free or natural vibration? [2 marks] (b) Describe an experiment to measure the effects of an out of balance rotating

More information

Reduction of Self Induced Vibration in Rotary Stirling Cycle Coolers

Reduction of Self Induced Vibration in Rotary Stirling Cycle Coolers Reduction of Self Induced Vibration in Rotary Stirling Cycle Coolers U. Bin-Nun FLIR Systems Inc. Boston, MA 01862 ABSTRACT Cryocooler self induced vibration is a major consideration in the design of IR

More information

TUTORIAL Motor Control Design Suite

TUTORIAL Motor Control Design Suite TUTORIAL Motor Control Design Suite April 2017 1 The Motor Control Design Suite provides a total solution for motor drive system design. From system specifications, the Motor Control Design Suite automatically

More information

ABS. Prof. R.G. Longoria Spring v. 1. ME 379M/397 Vehicle System Dynamics and Control

ABS. Prof. R.G. Longoria Spring v. 1. ME 379M/397 Vehicle System Dynamics and Control ABS Prof. R.G. Longoria Spring 2002 v. 1 Anti-lock Braking Systems These systems monitor operating conditions and modify the applied braking torque by modulating the brake pressure. The systems try to

More information

CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM

CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM 106 CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM 5.1 INTRODUCTION Inherent characteristics of renewable energy resources cause technical issues not encountered with conventional thermal,

More information

Control System Instrumentation

Control System Instrumentation Control System Instrumentation Chapter 9 Figure 9.3 A typical process transducer. Transducers and Transmitters Figure 9.3 illustrates the general configuration of a measurement transducer; it typically

More information

SP5 INSTALLATION AND SETUP MANUAL

SP5 INSTALLATION AND SETUP MANUAL SP5 INSTALLATION AND SETUP MANUAL 1 Installation 1.1 Introduction The SP5 System consists of a Data Acquisition unit (DAQ) with two complete Roller control channels, each Roller Control Channel consists

More information

Phys102 Lecture 20/21 Electromagnetic Induction and Faraday s Law

Phys102 Lecture 20/21 Electromagnetic Induction and Faraday s Law Phys102 Lecture 20/21 Electromagnetic Induction and Faraday s Law Key Points Induced EMF Faraday s Law of Induction; Lenz s Law References SFU Ed: 29-1,2,3,4,5,6. 6 th Ed: 21-1,2,3,4,5,6,7. Induced EMF

More information

A Novel Method of Data Synchronization during Transient Engine Testing for ECU Development

A Novel Method of Data Synchronization during Transient Engine Testing for ECU Development Speakers Information- Controls, Measurement & Calibration Congress A Novel Method of Data Synchronization during Transient Engine Testing for ECU Development Jensen Samuel J, Paul Pramod S, Ramesh A IIT

More information

Application Note Original Instructions Development of Gas Fuel Control Systems for Dry Low NOx (DLN) Aero-Derivative Gas Turbines

Application Note Original Instructions Development of Gas Fuel Control Systems for Dry Low NOx (DLN) Aero-Derivative Gas Turbines Application Note 83404 Original Instructions Development of Gas Fuel Control Systems for Dry Low NOx (DLN) Aero-Derivative Gas Turbines Woodward reserves the right to update any portion of this publication

More information

Universal Fluid Power Trainer (UFPT)

Universal Fluid Power Trainer (UFPT) Universal Fluid Power Trainer (UFPT) The UFPT is a modular, smart and unique fluid power and motion control training unit. It contains an excellent integration of industrial-graded hardware and builtin

More information

Design of pneumatic proportional flow valve type 5/3

Design of pneumatic proportional flow valve type 5/3 IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Design of pneumatic proportional flow valve type 5/3 To cite this article: P A Laski et al 2017 IOP Conf. Ser.: Mater. Sci. Eng.

More information

Modeling and Simulation of A Bldc Motor By Using Matlab/Simulation Tool

Modeling and Simulation of A Bldc Motor By Using Matlab/Simulation Tool Modeling and Simulation of A Bldc Motor By Using Matlab/Simulation Tool Miss Avanti B.Tayade (Department of Electrical Engineering,,S.D.College of Engineering & Technology.,Wardha) ABSTRACT: The objective

More information