Design of State-Feedback Controller for Vehicle Suspension System via Intensified Current Search

Abstract

The vehicle suspension is one of the most important mechatronic systems of which the purpose is to improve the ride comfort and road handling. This paper proposes the optimal design of state-feedback controller for the passive vehicle suspension system by using the intensified current search (ICuS) based on modern optimization context. The ICuS is one of the most powerful trajectory-based metaheuristic optimization techniques. In this paper, the considered passive vehicle suspension controlled system will be tested against five different road profiles. The responses of the passive vehicle suspension system controlled by the state-feedback controller optimized by the ICuS will be compared with those designed by the Ackermann's formula. As results, it was found that the ICuS can successfully design optimal state-feedback controller for the passive vehicle suspension system superior to the Ackermann's formula. The state-feedback controller designed by the ICuS provides very satisfactory responses with smaller overshoot, shorter settling time and without steady-state error.