Fuzzy Controller Design for Vehicle Active Suspensions Based on Genetic Algorithm

The study concerns the problem of fuzzy controller design for vehicle active suspensions based on genetic algorithm (GA). Three performance requirements, i.e. ride comfort, good road-holding ability and suspension stroke limitation are considered simultaneously in the controller design process. GA is employed to optimize the parameters of membership functions and fuzzy control rules to obtain better control performance. Simulation and discussions are presented to demonstrate the validity of the designed fuzzy controller.