Efficiency of PID Controller Based on Genetic Algorithm for controlling a Quarter Car Suspension System

Abstract

the purpose of this paper is to improve the performance of a car's active suspension system (a quarter model), with two degrees of freedom , a combination of components and mechanisms ensure both passengers' comfort and driving safety, the stability and ride performance depends generally on the quality of the suspension , and this is why car manufacturers are turning to an adjustable suspension that can be adapted to any type of road surface as it controls vertical movement for car wheels. In this work we show how proportional integral differential (PID) controller tuned by using two methods, Ziegler Nichols and genetic algorithms (GA) can used to achieve a good performance of the active suspension system, The simulation results show the robustness and effectiveness of genetic algorithm (GA) in providing good ride quality and good road handling, however the presence of a time delay.