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

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 (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 (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

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