Sliding Mode Control Tuned by Multi Objective Genetic Algorithm for a Half Vehicle

Abstract

The suspension systems is to isolate car body motion from the road excitations and improve the ride comfort. Therefore, controlling of a suspension system is essential for both comfort and road holding. In this study, Sliding Mode Controller tuned by Multi Objective Genetic Algorithm (MOGA) is designed to provide smooth vertical motion of car body. Sliding mode control (SMC) is robust and easy to use. However, tuning optimum controller parameters for systems is still an issue. The proposed SMC parameters have been tuned by MOGA with several fitness functions to get better dynamic performance. The vehicle model is excited by bump input. Then, simulation results of uncontrolled and MOGA integrated Sliding Mode Controllers models are compared. As a result of this study, the vehicle model with SMC tuned by MOGA is effective to decrease the effects of road induced vibrations.

Keywords: Sliding Mode Controller, Multi Objective Genetic Algorithm, Vehicle Model, Simulation of Vehicle Vibrations.