Implementation of Fuzzy Logic Controller for Cascaded Multilevel Inverter with Reduced Number of Components

Similar documents
Keywords: DTC, induction motor, NPC inverter, torque control

FUZZY LOGIC FOR SWITCHING FAULT DETECTION OF INDUCTION MOTOR DRIVE SYSTEM

VECTOR CONTROL OF THREE-PHASE INDUCTION MOTOR USING ARTIFICIAL INTELLIGENT TECHNIQUE

36 Sectors DTC Based on Fuzzy Logic of Sensorless Induction Motor Drives

Fuzzy logic controlled Bi-directional DC-DC Converter for Electric Vehicle Applications

POWER QUALITY IMPROVEMENT BASED UPQC FOR WIND POWER GENERATION

Fuzzy based Adaptive Control of Antilock Braking System

PERFORMANCE AND ENHANCEMENT OF Z-SOURCE INVERTER FED BLDC MOTOR USING SLIDING MODE OBSERVER

Fuzzy Logic Controller for BLDC Permanent Magnet Motor Drives

International Journal of Advance Research in Engineering, Science & Technology

International Journal Of Global Innovations -Vol.2, Issue.I Paper Id: SP-V2-I1-048 ISSN Online:

Implementation Soft Switching Bidirectional DC- DC Converter For Stand Alone Photovoltaic Power Generation System

COMPARISON OF PID AND FUZZY CONTROLLED DUAL INVERTER-BASED SUPER CAPACITOR FOR WIND ENERGY CONVERSION SYSTEMS

DESIGN AND IMPLEMENTATION OF BRUSHLESS DC MOTOR BY USING FUZZY LOGIC PI CONTROLLER Shivhar S. Chawale* 1, Sankeswari S.S 1

A Novel GUI Modeled Fuzzy Logic Controller for a Solar Powered Energy Utilization Scheme

Sensor less Control of BLDC Motor using Fuzzy logic controller for Solar power Generation

Sensorless Control of Induction Motor Drives at Low Speed Using Fuzzy Logic Control

POWER ELECTRONICS & DRIVES

Australian Journal of Basic and Applied Sciences. Resonant Power Converter fed Hybrid Electric Vehicle with BLDC Motor Drive

1. RENEWABLE ENERGY I.SOLAR ENERGY PROJECT TITLES WE CAN ALSO IMPLEMENT YOUR OWN CONCEPT/IDEA

PASSIVE SOFT SWITCHING SNUBBER FOR SPWM INVERTERS

LOAD SHARING WITH PARALLEL INVERTERS FOR INDUCTION MOTOR DRIVE APPLICATION

ENHANCEMENT OF ROTOR ANGLE STABILITY OF POWER SYSTEM BY CONTROLLING RSC OF DFIG

SPEED AND TORQUE CONTROL OF AN INDUCTION MOTOR WITH ANN BASED DTC

VECTOR CONTROL OF SWITCHED RELUCTANCE MOTOR 8/6 USING FUZZY LOGIC CONTROLLER

A Novel DC-DC Converter Based Integration of Renewable Energy Sources for Residential Micro Grid Applications

FuzzybasedEstimationofLowCostSensorLessControlofBrushlessDCMotor

Performance analysis of low harmonics and high efficient BLDC motor drive system for automotive application

FOUR SWITCH THREE PHASE BRUSHLESS DC MOTOR DRIVE FOR HYBRID VEHICLES

ISSN: X Tikrit Journal of Engineering Sciences available online at:

Improvement of Voltage Profile using ANFIS based Distributed Power Flow Controller

Modeling and Simulation of Five Phase Inverter Fed Im Drive and Three Phase Inverter Fed Im Drive

Speed Control of 3-Phase Squirrel Cage Induction Motor by 3-Phase AC Voltage Controller Using SPWM Technique

Design and Simulation of Grid Connected PV System

Fuzzy Based Unified Power Flow Controller to Control Reactive Power and Voltage for a Utility System in India

A HIGH EFFICIENCY BUCK-BOOST CONVERTER WITH REDUCED SWITCHING LOSSES

Simulation Study of FPGA based Energy Efficient BLDC Hub Motor Driven Fuzzy Controlled Foldable E-Bike Abdul Hadi K 1 J.

VECTOR CONTROL AND DIRECT POWER CONTROL METHODS OF DFIG UNDER DISTORTED GRID VOLTAGE CONDITIONS

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

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

Induction Motor Condition Monitoring Using Fuzzy Logic

Field Oriented Control of Permanent Magnet Synchronous Motor

STABILITY ENHANCEMENT OF RAILWAY VEHICLE DYNAMICS PERFORMANCE IN LATERAL DIRECTION USING FUZZY BOGIE-BASED SKYHOOK CONTROL

SENSORLESS CONTROL OF BLDC MOTOR USING BACKEMF BASED DETECTION METHOD

A PARALLEL SNUBBER CAPACITOR BASED HIGH STEP UP ISOLATED BIDIRECTIONAL FULL BRIDGE DC TO DC CONVERTER

Performance Analysis of Bidirectional DC-DC Converter for Electric Vehicle Application

Active Power Control For A Single-Phase Grid- Connected PV System

Simulation Analysis of Closed Loop Dual Inductor Current-Fed Push-Pull Converter by using Soft Switching

Back EMF Observer Based Sensorless Four Quadrant Operation of Brushless DC Motor

Power System Stability Analysis on System Connected to Wind Power Generation with Solid State Fault Current Limiter

Artificial-Intelligence-Based Electrical Machines and Drives

ANFIS CONTROL OF ENERGY CONTROL CENTER FOR DISTRIBUTED WIND AND SOLAR GENERATORS USING MULTI-AGENT SYSTEM

Lithium-ion Battery Charging System using Constant-Current Method with Fuzzy Logic based ATmega16

Design of Hybrid Controller for Direct Torque Control of Induction Motor Drive

Fuzzy Logic Control Based MIMO DC-DC Boost Converter for Electric Vehicle Application Ans Jose 1 Absal Nabi 2 Jubin Eldho Paul 3

Abstract- In order to increase energy independency and decrease harmful vehicle emissions, plug-in hybrid electric vehicles

IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 01, 2016 ISSN (online):

INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY (IJEET)

NOVEL VOLTAGE STABILITY ANALYSIS OF A GRID CONNECTED PHOTOVOLTIC SYSTEM

Design And Analysis Of Artificial Neural Network Based Controller For Speed Control Of Induction Motor Using D T C

Performance Enhancement of Permanent magnet Brushless Dc Motor Using Multilevel Inverter

Design and Implementation of Air Conditioning System in Operating Room

Speed Control of Brushless Dc Motor Using Fuzzy Logic Controller

Reactive Power Compensation at Load Side Using Electric Spring

Modeling and Simulation of BLDC Motor using MATLAB/SIMULINK Environment

Speed Control of Dual Induction Motor using Fuzzy Controller

DESIGN AND IMPLEMENTATION OF BATTERY CHARGER USING ULTRASPARSE MATRIX RECTIFIER WITH ANN CONTROL

e t Electronics Based Dump Load Controller (DLC) for an Grid Isolated Asynchronous Generator (GIAG)

SPEED CONTROL OF THREE PHASE INDUCTION MACHINE USING MATLAB Maheshwari Prasad 1, Himmat singh 2, Hariom Sharma 3 1

Control Scheme for Grid Connected WECS Using SEIG

Home Unit Fuzzy Logic Controlled Single Stage Converter For Lithium-Ion (Li-Ion) Battery Charger for Electrical Vehicle

A Novel Integration of Power Electronics Devices for Electric Power Train

II. ANALYSIS OF DIFFERENT TOPOLOGIES

FAULT ANALYSIS FOR VOLTAGE SOURCE INVERTER DRIVEN INDUCTION MOTOR DRIVE

Design of Active and Reactive Power Control of Grid Tied Photovoltaics

Modeling and Simulation of Solar PV Wind Hybrid System for Induction Motor Drive Application T. SRIPAL REDDY 1, B. ANURADHA 2

Open Loop Control of Switched Reluctance Motor Using Theta Position Sensing

Comparison between Optimized Passive Vehicle Suspension System and Semi Active Fuzzy Logic Controlled Suspension System Regarding Ride and Handling

DESIGN AND SIMULATION OF MICROGRID CONTROL BASED WIND POWER GENERATION SYSTEMS USING FUZZY LOGIC CONTROLLER

Analysis of Torque and Speed Controller for Five Phase Switched Reluctance Motor

MODELING OF A MICROTURBINE WITH PMSM GENERATOR USING MATRIX CONVERTER TECHNIQUE FOR GRID INTERCONNECTION SYSTEM

Review & Study of Bidirectional of DC-DC Converter Topologies for Electric Vehicle Application

I. INTRODUCTION Presently, most of today s automobiles run on petroleum based products, which are estimated

A Bidirectional Universal Dc/Dc Converter Topology for Electric Vehicle Applicationsand Photovoltaic Applications

Design and Control of Hybrid Power System for Stand-Alone Applications

CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM

Modelling and Simulation of DFIG based wind energy system

Full Bridge Dc Dc Converter With Planar Transformer And

International Journal of Emerging Technology and Innovative Engineering Volume 2, Issue 4, April 2016 (ISSN: )

International Journal of Scientific & Engineering Research, Volume 5, Issue 7, July ISSN

IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 02, 2016 ISSN (online):

Design and Simulation of a Car-Following Collision-Prevention Controller

DESIGN AND ANALYSIS OF CONVERTER FED BRUSHLESS DC (BLDC) MOTOR

Comparing PID and Fuzzy Logic Control a Quarter Car Suspension System

Dual power flow Interface for EV, HEV, and PHEV Applications

Design and Implementation of Non-Isolated Three- Port DC/DC Converter for Stand-Alone Renewable Power System Applications

Modeling and Simulation of Firing Circuit using Cosine Control System

AN APPROACH WITH INCREMENTAL CONDUCTANCE MPPT AND FLC BASED CHARGING CONTROLLER FOR EFFECTIVE BATTERY MANAGEMENT IN SOLAR-DIESEL HPS

Fuzzy based STATCOM Controller for Grid connected wind Farms with Fixed Speed Induction Generators

DUAL BRIDGE RECTIFIER FOR PMSG VARIABLE SPEED WIND ENERGY CONVERSION SYSTEMS

Transcription:

Indian Journal of Science and Technology, Vol 8(S2), 278 283, January 2015 ISSN (Online) : 0974-5645 ISSN (Print) : 0974-6846 DOI:.10.17485/ijst/2015/v8iS2/71717 Implementation of Fuzzy Logic Controller for Cascaded Multilevel Inverter with Reduced Number of Components K. Yamini *, B. Vasudha, Avinash Sharma and P. Ponnambalam School of Electrical Engineering, VIT University, Vellore, Tamil Nadu; yaminieng@gmail.com, b.vasudha250@gmail.com, avinash_sharma3824@yahoo.in, ponnambalam.p@vit.ac.in Abstract In this paper, cascaded multilevel inverter with fuzzy closed loop control is proposed. The proposed cascaded multilevel inverter needs lower number of dc voltage sources, power semiconductor switches hence the complexity and the cost of the overall system decreases. Pulses for the switches are generated by using sinusoidal pulse width modulation. Procedure to generate voltage levels is developed. Closed loop control using fuzzy logic is used to improve the RMS output voltage. Simulation results are observed for seven level inverter with fuzzy logic. Keywords: Cascaded Multi Inverter, Fuzzy Logic, Power Semiconductor Switches 1. Introduction Recently the demand for multilevel inverters is increasing because of their high performance like quality of power and minimum harmonics, low switching losses and good EMI on low and medium levels of voltage. These inverters can generate an output voltage waveform in the form of steps with the less number of direct current voltage sources as the input and proper arrangement of semiconductor switches. Generally, there are three different types of multilevel inverters: Neutral clamped MLI, capacitor-mli and cascaded MLI. Further in cascaded multilevel two different varieties are there symmetric MLI and asymmetric MLI. In symmetric type the magnitude of dc voltage of all inverters are equal. Where as in asymmetric type magnitudes are different with this we can generate more voltage levels. Various varieties of cascaded multilevel inverters are presented 1. The major factor using these structures is because of lower number of dc voltage sources and switches so cost of the inverter will decrease. In case of conventional one it uses only one voltage source and four power switches. Disadvantage with the use of conventional one is of low output voltage levels. In this paper to avoid the drawbacks with use of conventional one, a cascaded multilevel inverter is proposed to get more levels of output voltage with lower dc voltages and lower number of switches. Procedure to obtain output voltage levels is also presented. This proposed one is compared with the conventional one on various aspects. Fuzzy logic control can provide solution to the system even where there is no mathematical model. Fuzzy logic works on the rules given by the user. So the user can modify the rules to get better performance. Fuzzy logic is flexible it can be model for any number of inputs and outputs as it is based on the rules. 2. System Configuration In Figure 1, two different types of seven levels inverter is proposed. This one we can obtain with use of extra two switches and one voltage source compared to the conventional one 2. It consists of six switches and (SP1, *Author for correspondence

K. Yamini, B. Vasudha, Avinash Sharma and P. Ponnambalam SP2, SQ1, SQ2, SU, SV), and two voltage sources of VP1 and VQ1. From Figure 1 each switch consists (IGBT) and one body diode across it, so that it can block voltage in one direction and can conduct current in two directions. Turn-on of switches SP1, SP2 at the same time will cause the short circuit. So it should be avoided. Similarly for SQ1, SQ2 and SU, SV. Connections of these topologies with different voltage polarity are shown in Figure. Table shows the switching states. If the two voltage sources are equal we can get only three levels, if we use different sources voltage levels increases with the same number of switches. The voltages of VP1 and VQ1 should be 3pu and 1pu for Figure 1 and it should be 2pu and 1pu for Figure 2. From the Figure 1 terminals of the voltage VP1 and VQ1 are same. Procedure for generating voltage levels is shown in Table 1 From the Figure 2 terminals of the voltage VP1 and VQ1 are opposite. Procedure for generating voltage levels is shown in Table 2. Figure 1. Seven level inverter configuration 1. Table 1. Output voltage levels of seven level inverter configuration 1 SNO SP1 SP2 SQ1 SQ2 SU SV V0 1 1 0 0 1 0 1 VP1 2 1 0 0 1 1 0 VQ1 3 1 0 1 0 0 1 VP1-VQ1 4 1/0 0/1 1/0 0/1 1/0 0/1 0 5 0 1 1 0 1 0 VP1 6 0 1 1 0 0 1 VQ1 7 0 1 0 1 1 0 (VP1 V1) Table 2. Output voltage levels of seven level inverter configuration 2 SNO SP1 SP2 SQ1 SQ2 SU SV V0 1 1 0 0 1 0 1 VP1 2 1 0 0 1 1 0 VQ1 3 1 0 1 0 0 1 VP1-VQ1 4 1/0 0/1 1/0 0/1 1/0 0/1 0 5 0 1 1 0 1 0 VP1 6 0 1 1 0 0 1 VQ1 7 0 1 0 1 1 0 (VP1 V1) From this seven level inverter we can generate thirty one level inverter is shown in Figure 3. For thirty-one level inverter it requires ten switches and four voltage sources. As the number of levels and switches increases the procedure to obtain voltage levels is different. From Figure 3 if the switches SP1, SP2, SP3 and SP4 are turned at the same time short circuit will occur on the voltage sources VP1, VP2, VQ1 and VQ2. Hence it should be avoided. Procedure for generating voltage levels is shown in Table 3. From Figure 3 with the help of thirty-one level inverter one twenty seven level inverter can be developed. It requires 14 switches and six voltage sources. 3. Procedure to Obtain Output Voltage Levels To have maximum number of output voltage levels, voltage sources magnitude should be different 3. (A) Seven level Inverter V P1 =V DC V Q1 =2V DC. Figure 2. Seven level inverter configuration 2. It can produce V DC, 2V DC, 3V DC, 0, V DC, 2V DC, 3 V DC. Vol 8 (S2) January 2015 www.indjst.org Indian Journal of Science and Technology 279

Implementation of Fuzzy Logic Controller for Cascaded Multilevel Inverter with Reduced Number of Components Table 3. Output voltage levels of 31level inverter SNO T1 T2 T3 T4 K1 K2 K3 K4 TU TV Output Voltage 1 ON OFF ON OFF ON OFF ON OFF OFF ON VA2+VB2 2 ON OFF ON OFF OFF ON ON OFF OFF ON VA2+VB2-VA1 3 OFF ON ON OFF ON 0 ON OFF OFF ON VA2+VB2-VB1 4 OFF ON ON OFF OFF ON ON OFF OFF ON VA2+VB2-VA1-VB1 5 ON OFF ON OFF ON OFF OFF ON OFF ON VA1+VB2 6 ON OFF ON OFF OFF ON OFF ON OFF ON VB2 7 OFF ON ON OFF ON OFF OFF ON OFF ON VA1 VB1+VB2 8 OFF ON ON OFF OFF ON OFF ON OFF ON VB2 VB1 9 ON OFF OFF ON ON OFF ON OFF OFF ON VA2+VB1 10 ON OFF OFF ON OFF ON ON OFF OFF ON VA2+VB1 VA1 11 OFF ON OFF ON ON OFF ON OFF OFF ON VA2 12 OFF ON OFF ON OFF ON ON OFF OFF ON VA2 VA1 13 ON OFF OFF ON ON OFF OFF ON OFF ON VA1+VB1 14 ON OFF OFF ON OFF ON OFF ON OFF ON VB1 15 OFF ON OFF ON ON OFF OFF ON OFF ON VA1 16 OFF OFF OFF OFF OFF OFF OFF OFF OFF OFF 0 17 ON OFF ON OFF OFF ON ON OFF ON OFF VA1 18 OFF ON ON OFF ON OFF ON OFF ON OFF VB1 19 OFF ON ON OFF OFF ON ON OFF ON OFF (VA1+VB1) 20 ON OFF ON OFF ON OFF OFF ON ON OFF (VA2 VB1) 21 ON OFF ON OFF OFF ON OFF ON ON OFF VB2 22 OFF ON ON OFF ON OFF OFF ON ON OFF (VA2+VB1 VA1) 23 OFF ON ON OFF OFF ON OFF ON ON OFF (VA2+VB1) 24 ON OFF OFF ON ON OFF ON OFF ON OFF (VB2 VB1) 25 ON OFF OFF ON OFF ON ON OFF ON OFF (VA1 VB1+VB2) 26 OFF ON OFF ON ON OFF ON OFF ON OFF VB2 27 OFF ON OFF ON OFF ON ON OFF ON OFF (VA1+VB2) 28 ON OFF OFF ON ON OFF OFF ON ON OFF (VA2+VB2 VA1 VB1) 29 ON OFF OFF ON OFF ON OFF ON ON OFF (VB2+VA2 VB1) 30 OFF ON OFF ON ON OFF OFF ON ON OFF (VA2+VB2 VA1) 31 OFF ON OFF ON OFF ON OFF ON ON OFF (VA2+VB2) (B) Thirty one level Inverter V P1 =V DC (C) One twenty seven Level Inverter V P1 =V DC V Q1 =2V DC V P2 =5V DC V Q1 =2V DC V Q2 =10V DC It can produce all positive and negative levels of output from 0 to15 V DC. V P2 =5V DC V Q2 =10V DC 280 Vol 8 (S2) January 2015 www.indjst.org Indian Journal of Science and Technology

K. Yamini, B. Vasudha, Avinash Sharma and P. Ponnambalam Figure 3. Thirty-one level inverter. Fuzzy controller contains three parts 1. Fuzzification 2. Rules 3. Defuzzification For fuzzification to be performed membership functions for input and output along with rules are used. To get proper output defuzzification is done on fuzzy input membership functions and rules. Rules are given from an inference using mamdani algorithm. Inputs are entered into the fuzzification block using preprocessor. Fuzzification block converts the input variables to the membership functions which match with the rules. Rms output voltage of the seven level inverter is taken and is compared with the reference value. From this Figure 5. Error Membership functions. Figure 4. One-twenty-seven Level Inverter. V P3 =25V DC Figure 6. Differential error Membership function. V Q3 =50V DC It can produce all positive and negative levels of output from 0 to 63 V DC. 4. Closed Loop Control Using Fuzzy Logic Closed loop control of fuzzy logic is used to get the error as zero by comparing actual voltage with the reference voltage. Two inputs error and differential error are given to the fuzzy controller. Table 4. Rules for fuzzy logic controller SNO Error Differential error Output 1 Ne Ne Z 2 Ne Z Pe 3 Ne Pe Z 4 Z Ne Z 5 Z Z Pe 6 Z Pe Ne 7 Pe Ne Ne 8 Pe Z Z 9 Pe Ne Ne Vol 8 (S2) January 2015 www.indjst.org Indian Journal of Science and Technology 281

Implementation of Fuzzy Logic Controller for Cascaded Multilevel Inverter with Reduced Number of Components Figure 7. Output Membership function. Figure 10. PWM Pulses. Figure 8. Simulink diagram for seven level inverter. Figure 11. Output Current. Figure 9. Simulink diagram for seven level inverter with fuzzy logic controller. error is generated, with the help of d/dt block change in error is calculated. The error and the change in error are given as inputs to the fuzzy controller. Output of the fuzzy controller is given to the saturation block for limiting the maximum and minimum values. Output from the saturation block is given as inputs to the sine wave amplitude. Figure 12. Output Voltage. 5. Simulation Results VP1=150V VQ1=50V Figure 13. Total Harmonic Distortion for output voltage. 282 Vol 8 (S2) January 2015 www.indjst.org Indian Journal of Science and Technology

K. Yamini, B. Vasudha, Avinash Sharma and P. Ponnambalam 7. References Figure 14. 6. Conclusion Output voltage for Vref=105V. Simulation results for the seven levels MLI with closed loop Fuzzy Logic Controller (FLC) is designed and observed. Root Mean Square voltage of the inverter can be controlled from 97V to 122V using FLC by changing the amplitude of the sine wave from 4.3V to 7V. 1. Ebrahimi J, Babaei E, Gharehpetian GB. A new topology of cascaded multilevel converters with reduced number of components for high-voltage applications. Journal of IEEE Trans on Power Electronics. 2011; 26(11):3109 18. 2. Farhadi M, Kangarlu, Babaei E. A generalized Cascaded multilevel inverter using series connection of sub multilevel inverters. Journal of IEEE Trans on Power Electronics. 2013; 28(2):625 36. 3. Babaei E, Farhadi M, Najaty Mazgar F. MLI topologies with reduced switching devices. Journal of Elect Power Syst. 2012; 86:122 30. 4. Babaei E, Hosseini SH. New cascaded multilevel inverter topology with reduced switches. Journal of Energy Converges Manage. 2009; 50(11):2761 7. Vol 8 (S2) January 2015 www.indjst.org Indian Journal of Science and Technology 283