An Active Suspension System Appplication in Multibody Dynamics Software

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An Active Suspension System Appplication in Multibody Dynamics Software Muhamad Fahezal Ismail Industrial Automation Section Universiti Kuala Lumpur Malaysia France Institue 43650 Bandar Baru Bangi, Selangor, Malaysia fahezal@mfi.unikl.edu.my Kemao Peng Temasek Laboratories National University of Singapore, 5A, Engineering Drive 1, Singapore 117411, Singapore kmpeng@nus.edu.sg Yahaya Md. Sam, Shahdan Sudin Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 UTM, Skudai, Johor, Malaysia yahaya@fke.utm.my, shahdan@fke.utm.my Muhamad Khairi Aripin Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia khairiaripin@utem.edu.my Abstract This paper describes the application of active suspension system in multi-body dynamics system software for ride comfort and road handling performance. In active suspension system, the most simulation software used by researchers is MATLAB/Simulink, ADAMS, and etc. For their ride quality test and road handling test. The concept of multi-body dynamics system software (CarSim) provides a real car specification based on the automotive engineering standard. The main parameters of active suspension system are the jounce or suspension deflection, damping force, wheel deflection, and velocity of the car body. The CarSim also provide various type vehicle selections especially for commercial car in different classes. The parameter setting in the CarSim is similar to the specification in the real commercial car. The results show the parameter response of active suspension system in different type of analysis. Keywords- active suspension, multi-body dynamics software, suspension deflection, damping force, wheel deflection, ride comfort, ride quality and road handling I. INTRODUCTION Active suspension system broadly deliberate over the years of research work [1]. Most of the research work is focused on the outer-loop controller in the computation of the desired control force as a function of vehicle states and the road disturbance [2]. Over recent years, the active suspension systems have come into commercial use which can offer improved comfort and road handling in varying driving and loading conditions compared to the passive suspension system. For quarter car model, it consists of 2 degree-of-freedom (DOF) dynamic equation, half car model consisting of 4 degree-of-freedom dynamic equation, and full car model consists of 7 degree-of- freedom dynamic equation [3]. The multi dynamics software (CarSim) predicts the performance of vehicles in response to driver control inputs (steering, throttle, brakes, clutch, and shifting) in a given environment (road geometry, coefficients of friction, wind). By performance, we mean vehicle motions, forces, and moments involved in acceleration, handling, and braking. Just about any test of a vehicle that would be conducted on a test track or road can be simulated. We can study changes in vehicle behaviour that result from modifying any of the hundreds of vehicle parameters, control inputs, or the driving environment. We can add vehicle elements and systems like controls (ABS, traction control, stability control) to the vehicle and use them to develop control algorithms. CarSim comes with over 15 vehicles: class A-F passenger cars, some vans, utility vehicles, and light trucks. There are many example test procedures, and over 20 3D vehicles shape files for quality animations. Each 3D vehicle shape is automatically resized as needed to match the dimensions set for the vehicle model, and the overall colour can be reset at run time to help distinguish between overlays of vehicle from different simulated tests. The CarSim math models are built on decades of research in characterizing vehicles and reproducing their behaviour with mathematical models. Validation testing continues as new features are added. The CarSim math models cover the complete vehicle system and its inputs from the driver, ground, and aerodynamics. The models are extensible using built-in Vehicle Sim commands, MATLAB/Simulink from the Mathworks, LabVIEW from National Instruments, and custom programs written in Visual Basic, C, MATLAB, and other languages. CarSim combines a complete vehicle math model with high computational speed. The software development team at Mechanical Simulation uses the VehicleSim Lisp symbolic multibody program to generate the equations for the vehicle math models. Besides providing correct nonlinear

equations for fairly complicated models, the machinegenerated equations are highly optimized to provide fast computation. II. AN ACTIVE SUSPENSION DESIGN PARAMETER An independent suspension is one in which vertical movement of one wheel does not cause noticeable movement of the other wheel if the anti-roll bar is disconnected. Stated in another way, the kinematical motions of each wheel in an independent suspension are related to a single coordinate: the vertical deflection commonly called as a jounce of an individual wheel [4]. In contrast, a solid axle suspension has an actual axle or linkage system that causes both wheels to roll together. The motions of each wheel are related to two coordinates axle jounce and axle roll [5]. In both cases (independent and solid axle), lateral forces are transmitted to the sprung mass along the lines of action perpendicular to the path of constrained motion, to determine load transfer due to suspension kinematical properties [6]. A twist beam or twist axle suspension has a torsional flexible structure linking the two sides. Lateral forces are transmitted to the sprung mass through lateral reactions at bushings attaching the structure to the chassis, and through vertical reactions at the same bushings caused by the twist (structural deformation) of the beam [7]. Twist beams are available only at the rear suspension on vehicles in CarSim with independent front suspension, and are never steered. The type of suspension used for a simulation is indicated in the vehicle code that appears on the Run Control screen on the vehicle dataset link. In CarSim, SA indicates a solid-axle suspension, Ind is an independent suspension, and Twist is a twist beam. For example, the code Ind_Ind indicates independent suspensions on the front and rear; the code Ind_SA indicates a front independent suspension and a solid-axle rear suspension. In TruckSim, where vehicles can have more axles, S indicates solid-axle and I indicate independent. Drop-down lists on the Vehicle: Assembly screen (CarSim) is used to choose the suspension type for each axle. All trailer suspensions in CarSim have the solid-axle type. CarSim each include at least 20 screens for building descriptions of a suspension. Many of these show tabular data that might be obtained from simulated kinematics and compliance (K&C) tests and involve jounce or component compression. Figure 1 and Figure 2 shows the independent suspension kinematic screen for front and rear active suspension setting. The kinematics of the suspension linkages are described by the lateral and longitudinal motions of the wheel as the suspension deflects vertically. The lateral movement primarily affects the transfer of tire lateral force of the body and the resulting body roll. The longitudinal movement primarily affects the transfer of tire longitudinal force of the body and the resulting body pitch. These effects are sometimes described using concepts such as roll centres and side view swing arms, particularly when performing simple analysis [8]. The motion of the wheels is defined by the positions of the wheel centre and by camber and caster changes as each wheel moves in jounce. Figure 1. Control screen in the front suspension parameters setup

Figure 2. Control screen for rear suspension parameters setup

The unsprung mass includes the wheels, tires, brakes, and all parts that move vertically with the wheel as the suspension deflects. For parts such as driveline components and suspension linkages that have one end attached to the moving wheel and the other to the sprung mass, you can add about half of their masses to the overall unsprung mass. This value includes both wheels in the suspension. Fraction Steered is the portion of the unsprung mass that rotates about the kingpin axis when the wheels are steered. Typically, it includes the wheel, tire, brake and steering knuckle, but not the control arms, springs or dampers. On the road profiles design the geometry and friction setting is the important parameters that give effect when the ride quality test for active suspension system is running. Figure 3 shows the suitable setting must be done in CarSim. Figure 3. Road profiles designed for ride quality test for the active suspension system. III. RESULTS AND DISCUSSION Figure 4 shows the damping force for each tire involve in full car class D sedan. The effect on the front right tire on the damping force is too high and also on the rear right tire. The damping force on the both positions of the active suspension should be improved in ride quality. Based on Figure 5 and Figure 6 the Chamber versus jounce (suspension deflection) compression rate for front right active suspension is low compared to the front left active suspension due to the road profiles effect to the active suspension. In this situation also is not good for ride quality test. Figure 7 shows the variation of the pitch angle of sprung mass for full car model class D sedan. In the period of time from 0 seconds to the 8 seconds, it shows that the pitch angle is higher. This situation occurs because of the road profiles effect to the control arm of the sprung mass. The vertical acceleration of the sprung mass is an important measurement of the active suspension ride quality test. Based on Figure 8 there are 5 sensors detecting the vertical acceleration of the sprung mass. The measurement shows that the signal response is highly transient at period time of 13 th seconds to 17 th seconds. This situation also due to the effect of the road profiles.

Figure 4. Damping force Figure 5. Chamber vs jounce front

Figure 6. Chamber vs Jounce Rear Figure 7. Pitch angle of sprung mass

Figure 8. Vertical acceleration of sprung mass Figure 9. MATLAB/Simulink integrated with CarSim IV. CONCLUSION As a conclusion, Figure 9 shows the integration between CarSim and Matlab/Simulink. The control algorithm must be proposed in order to overcome the problem with high transient response for each parameter involved in the active suspension system. All important data must select from CarSim into the Matlab/Simulink such as Tire deformation, jounce (suspension deflection, wheel velocity and car body velocity. These parameters are used in control design requirement. The active suspension application in CarSim will become interesting as a tool for researcher in the ride quality test.

REFERENCES [1] D. Hrovat, Survey of advanced suspension developments and related optimal control applications, Automatica 33(10) 1781 1817, 1997. [2] Shen, X. and Peng, H. Analysis of Active Suspension Systems with Hydraulic Actuators. Proceedings of the IAVSD Conference. August. Atsugi, Japan, 2003. [3] Fu-Cheng Wang, Design and Synthesis of Active and Passive Vehicle Suspensions, A dissertation of Doctor of Philosophy, Control Group, Department of Engineering University of Cambridge, 2001. [4] M. M. ElMadany and A. O. Qarmoush, "Dynamic Analysis of a Slowactive Suspension System Based on a Full Car Model," Journal of Vibration and Control, vol. 17, pp. 39-53, January 1, 2011 2011. [5] B. Breytenbach and P. S. Els, "Optimal vehicle suspension characteristics for increased structural fatigue life," Journal of Terramechanics, vol. 48, pp. 397-408, 2011. [6] S. M. Savaresi, Semi-active suspension control design for ground vehicles. Oxford: Butterworth-Heinemann, 2010. [7] C. McGinn and D. Geraghty, "Modelling an active suspension controller for a road vehicle," in Signals and Systems Conference (ISSC 2010), IET Irish, 2010, pp. 24-29. [8] M. S. Fallah, R. Bhat, and W. F. Xie, "New model and simulation of Macpherson suspension system for ride control applications," Vehicle System Dynamics, vol. 47, pp. 195-220, 2009.