文献类型：会议论文

英文题名：Active suspension system based on LMS adaptive fuzzy algorithm

作者：Jianmin, Sun[1]; Qingmei, Yang[2]

第一作者：Jianmin, Sun

通讯作者：Jianmin, S.

机构：[1] School of Mechanical-electronic and Automobile Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China; [2] College of Automation, Beijing Union University, Beijing 100101, China

第一机构：School of Mechanical-electronic and Automobile Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China

通讯机构：[1]School of Mechanical-electronic and Automobile Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China

会议论文集：Proceedings of the 26th Chinese Control Conference, CCC 2007

会议日期：July 26, 2007 - July 31, 2007

会议地点：Zhangjiajie, China

语种：英文

外文关键词：Adaptive algorithms - Function evaluation - Fuzzy logic - Least squares approximations - Set theory

摘要：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.