Optimal Design of Robust Controller for Active Car Suspension System Using Bee’s Algorithm

Vehicle suspension plays a critical role in improving car’s ride comfort and handling ability. Active suspension can potentially improve the driving maneuverability and passenger’s comfort simultaneously, thanks to the advanced control algorithm and improved actuators. In this paper an intelligent control system based on H-infinity is proposed for active car suspension system. The proposed system includes two main modules: the controller module and the optimization module. The H-infinity control method is one approach to robust control that has been receiving much attention recently in the controls community. In controller module, we used H-infinity controller. To effectively use the H-infinity, one must be able to choose reasonable performance and uncertainty weights. There is no systematic way to select these transfer functions. Therefore in the optimization module of proposed method, we used bee’s algorithm (BA) to find the best values of the transfer function coefficients. To evaluate the performance of proposed method, we used quarter-car model and the obtained results show that the proposed method has excellent performance.

Keywords:

Suspension , H-infinity , Quarter-car Model , Optimization