Optimal Control Design-based Grey Wolf Optimization Algorithm for Suspension System in Electric Vehicle

Abstract

This research focuses on improving electric vehicle suspension systems using optimal control design based on Grey Wolf Optimization (GWO). It integrates a PID Controller, optimized by the GWO algorithm, with a passive suspension system to better handle road disturbances. The goal is to enhance ride comfort and maintain consistent road-wheel contact by reducing the impact of surface irregularities. Additionally, the study compares the performance of the GWO-PID system with a Model Predictive Contol (MPC) system. The comparison is evaluated using the Integral-Time weighted Absolute-Error (ITAE) as the fitness function.