Fuzzy Logic Controller
JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN
ELECTRICAL ENGINEERING
DEVELOPMENT OF ACTIVE SUSPENSION SYSTEM
FOR CAR USING FUZZY LOGIC CONTROLLER, PID
& GENETICALLY OPTIMIZE PID CONTROLLER
1
AMIT B PANCHAL, 2DR. JAGRUT J GADIT, 3NIKUNJ G MISTRY ,4NIRAV M
VAGHELA
1,4
2
Assi. Professor in Elect. Engg. Dept, Parul Inst. of Engg. & Tech., Limada, Vadodara
Assoc. Professor in Elect. Engg. Department, Faculty of Engg & techo-MSU Vadodara.
3
Lacturer in Electrical Engg. Department, N.G.Patel Polytechnic-Ishorli, Bardoli. panchal_99@yahoo.co.in,abp.parul@yahoo.in ABSTRACT : In this paper, develop fuzzy logic controller to control active suspension system to minimize car body deflection. Also develop PID controller to control Active suspension system, also tune gain of PID controller using Genetic algorithm. By using all three methods, vehicle body deflection has been obtained & compare with each others. These comparisons display efficiency of FLC & GA-PID controller method.
KEY WORDS: Active suspension system, fuzzy logic controller, PID controller, Genetic algorithm, quartercar reference model.
1. INTRODUCTION
Suspension systems are the most important part of the vehicle affecting the ride comfort of passengers and road holding capacity of the vehicle, which is crucial for the safety of the ride. Designing a good suspension system with optimum vibration performance under different road conditions is an important task. Over the years, both passive and active suspension systems have been proposed to optimize the vehicle quality. Passive suspension [3]
Systems use conventional dampers to absorb vibration energy and do not require extra power.
Whereas, active suspension systems capable of producing an improved ride quality use additional power to provide a response-dependent damper[2].
In active suspension systems, an actuator (linear motor, hydraulic cylinder, etc.) parallel to the suspension systems is placed between
ELECTRICAL ENGINEERING
DEVELOPMENT OF ACTIVE SUSPENSION SYSTEM
FOR CAR USING FUZZY LOGIC CONTROLLER, PID
& GENETICALLY OPTIMIZE PID CONTROLLER
1
AMIT B PANCHAL, 2DR. JAGRUT J GADIT, 3NIKUNJ G MISTRY ,4NIRAV M
VAGHELA
1,4
2
Assi. Professor in Elect. Engg. Dept, Parul Inst. of Engg. & Tech., Limada, Vadodara
Assoc. Professor in Elect. Engg. Department, Faculty of Engg & techo-MSU Vadodara.
3
Lacturer in Electrical Engg. Department, N.G.Patel Polytechnic-Ishorli, Bardoli. panchal_99@yahoo.co.in,abp.parul@yahoo.in ABSTRACT : In this paper, develop fuzzy logic controller to control active suspension system to minimize car body deflection. Also develop PID controller to control Active suspension system, also tune gain of PID controller using Genetic algorithm. By using all three methods, vehicle body deflection has been obtained & compare with each others. These comparisons display efficiency of FLC & GA-PID controller method.
KEY WORDS: Active suspension system, fuzzy logic controller, PID controller, Genetic algorithm, quartercar reference model.
1. INTRODUCTION
Suspension systems are the most important part of the vehicle affecting the ride comfort of passengers and road holding capacity of the vehicle, which is crucial for the safety of the ride. Designing a good suspension system with optimum vibration performance under different road conditions is an important task. Over the years, both passive and active suspension systems have been proposed to optimize the vehicle quality. Passive suspension [3]
Systems use conventional dampers to absorb vibration energy and do not require extra power.
Whereas, active suspension systems capable of producing an improved ride quality use additional power to provide a response-dependent damper[2].
In active suspension systems, an actuator (linear motor, hydraulic cylinder, etc.) parallel to the suspension systems is placed between
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