Active Suspension System Based on LMS Adaptive Fuzzy Algorithm

An adaptive fuzzy control algorithm with rectification factor is brought up. Because the algorithm can adjust the rectification factor of fuzzy controller with the least means squares (LMS) method, it not only can reflect the advantage of fuzzy logic in nonlinearity system but also can improve the disadvantage of common fuzzy control method strongly depending on the experience. Contrasting with common fuzzy algorithm, there is no membership function choice of fuzzy subset for input and output of controller. For vehicle model, vehicle performance in road signal is studied. Its results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment study of vehicle model, the results further prove that the algorithm can effectively control the vibration of vehicle system.