Optimal fuzzy control design for half-car active suspension systems

Abstract

The optimal fuzzy controller of a nonlinear active suspension system is designed based on the Takagi-Sugeno (T-S) fuzzy model. First, the half-car suspension system dynamics is converted to a T-S fuzzy model. Then each local controller design is derived by applying linear optimal control theory and the global effect can be achieved by fuzzily blending with local optimal controller if a sufficient condition can be met. The stability of the entire closed-loop fuzzy system can be ensured by the designed optimal fuzzy controller. The simulation results indicate the feasibility and the applicability of the designed controller, which also provides much better performance than conventional passive suspension system.