Optimum PID Controller Design using PSO for Vehicle Active Suspension System Considering MATLAB Simulink Modeling based Road Profiles

Abstract

The vehicle active suspension system is mainly used in the automobile industry to improve ride comfort, road handling ability under different road disturbance conditions. In the present paper particle swarm optimization (PSO) based Proportional-Integral-Derivative (P-I-D) controller is proposed considering the objective of minimizing the sprung mass acceleration when the vehicle is subjected to various road conditions. Matlab Simulink based quarter vehicle and road bump disturbance models are developed for the dynamic analysis of the vehicle suspension system. Simulation results are demonstrated to show the advantage of the proposed PSO based P-I-D controller in terms of improving the dynamic performance of the active suspension system regarding body acceleration, velocity, position and providing good tire-road contact compared to Ziegler-Nichols tuning method and passive suspension system.