Active Suspension of Cars Using Fuzzy Logic Controller Optimized by Genetic Algorithm

Authors : R K PEKGÖKGÖZ, M A GÜREL, M BİLGEHAN, M KISA

Pages : 27-37

View : 12 | Download : 8

Publication Date : 2010-12-01

Article Type : Research Paper

Abstract :In the literature, there are many studies based on adaptive control methods to improve the properties of the vehicle suspension systems. In this work, fuzzy logic is used to control the active suspension and the membership functions are optimized by using genetic algorithm operations. By using the fuzzy logic and proportional, integral, derivative insert ignore into journalissuearticles values(PID); controller methods, the vehicle body deflections and the control force have been obtained and compared with each others. These comparisons displayed the efficiency and convenience of the offered fuzzy logic controller insert ignore into journalissuearticles values(FLC); method. The study shown that the proposed method can be used for the active control of car suspension systems
Keywords : Active suspension systems, fuzzy logic control, genetic algorithm, PID control, quarter car reference model