文献类型：会议论文

英文题名：Research on Least Means Squares Adaptive Control for Automotive Active Suspension

作者：Sun, Jianmin[1];Yang, Qingmei[2]

第一作者：Sun, Jianmin

通讯作者：Sun, JM[1]

机构：[1]Beijing Univ Civil Engn & Architecture, Sch Mech Elect & Automobile Engn, Beijing 100044, Peoples R China;[2]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China

第一机构：Beijing Univ Civil Engn & Architecture, Sch Mech Elect & Automobile Engn, Beijing 100044, Peoples R China

通讯机构：[1]corresponding author), Beijing Univ Civil Engn & Architecture, Sch Mech Elect & Automobile Engn, Beijing 100044, Peoples R China.

会议论文集：IEEE International Conference on Industrial Technology

会议日期：APR 21-24, 2008

会议地点：Chengdu, PEOPLES R CHINA

语种：英文

外文关键词：Active control; Least Means Squares; Adaptive control

摘要：According to the evaluation method of riding comfort and handling safety of automotive, the acceleration of the sprung mass, dynamic tyre load between wheels and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation targets of suspension performance. The Least Means Squares (LMS) adaptive algorithm is used in active suspension system. With adjusting the weight of adaptive filter, the minimum quadratic performance index is obtained. For two-DOF automotive suspension model, LMS adaptive control are studied. The simulation results show that LMS adaptive control is not only simple algorithm but also remarkably effective. The calculation of LMS adaptive control algorithm is much little, and the method is fit for the active control of the suspension system.