Title :
Active Suspension System Based on LMS Adaptive Fuzzy Algorithm
Author :
Jianmin, Sun ; Qingmei, Yang
Author_Institution :
Beijing Inst. of Civil Eng. & Archit., Beijing
Abstract :
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.
Keywords :
adaptive control; fuzzy control; fuzzy logic; least mean squares methods; road vehicles; suspensions (mechanical components); vehicle dynamics; LMS adaptive fuzzy algorithm; active suspension system; adaptive fuzzy control; fuzzy logic; least means squares method; road signal; vehicle model; vehicle performance; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Least squares approximation; Nonlinear control systems; Programmable control; Road vehicles; Weight control; Active Suspension; Experiment Study; Fuzzy Logic Control; Rectification Factor;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347329
