Optimal PIDA Controller Design for Quarter Car Suspension System by Intensified Current Search

Abstract

This paper presents an optimal proportional-integral-derivative-accelerated (PIDA) controller design for a quarter car suspension system to improve the ride comfort and road handling. Based on the modern optimization, the proposed PIDA controller design framework is based on the intensified current search (ICuS) optimization which is one of the most efficient trajectory-based metaheuristic optimization techniques. By comparison, a passive quarter car suspension system controlled by the PID and PIDA controllers optimized by the ICuS are tested against four different road profiles, i.e. bumpy road, pothole road, ramp road and random road. As results, the PIDA controller can provide very satisfactory responses with smoother and faster than the PID controller, significantly.