PID controller optimized by using Genetic Algorithm for Active Suspension System of a Quarter car

Abstract

This paper discusses the active suspension system of a quarter car model., which is modeled mathematically as two degrees of freedom. A combination of components and mechanisms ensure the comfort and safety of the driver and passengers in the car., the management and stability of the car depends generally to a large extent 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 the active suspension can be improved using a classical proportional integral differential (PID) controller., tuning two methods., Ziegler Nichols and genetic algorithms (GA)., the simulation results were in accepted range using the genetic algorithm (GA) compared to Ziegler Nichols (ZN) approach., it presented a good compromising between the car ride comforts and handling performance.