Optimal Design Using BCMO Algorithm of Fuzzy Controllers for Active Suspension Systems

This report presents the optimal design problem of fuzzy controllers in vibration control of active suspension systems. In fuzzy controllers, the control rule base, the reference range of variables, and the distribution of membership functions of variables in the fuzzification step are often determined based on experts’ experience. Therefore, the parameters to set up the above components can be considered as design variables to optimize fuzzy controllers in the present work. The investigated model is the active suspension of a quarter car model. The Balancing Composite Motion Optimization (BCMO), a recently introduced swarm-based algorithm, is used as the tool when optimizing the controllers. Simulation results indicate that the proposed controllers have a high efficiency compared to the one in a published study with the same maximum control force. With a large number of design variables, it is possible to consider that the optimal approach to the controllers in this paper is overall.