The Model Reference Adaptive Fuzzy Control for the Vehicle Semi-Active Suspension

被引：0
|
作者：
管继富
侯朝桢
顾亮
武云鹏
机构：
[1] Beijing 100081
[2] Beijing Institute of Technology
[3] Beijing100081
[4] China
[5] Department of Automatic Control
[6] School of Mechanical and Vehicular Engineering
[7] School of Mechanical and Vehicular Engineering School of Information Science and Technology
来源：
Journal of Beijing Institute of Technology | 2003年 / 04期
关键词：
semi-active suspension; LQG control; MRAFC control; adaptive control;
D O I：
10.15918/j.jbit1004-0579.2003.04.002
中图分类号：
U463.5 [制动系统];
学科分类号：
080204 ; 082304 ;
摘要：
The LQG control system is employed as vehicle suspension’s optimal target system, which has an adaptive ability to the road conditions and vehicle speed in a limited bandwidth. In order to keep the optimal performances when the suspension parameters change, a model reference adaptive fuzzy control (MRAFC) strategy is presented. The LQG control system serves as the reference model in the MRAFC system. The simulation results indicate that the presented MRAFC system can adapt to the parameters variation of vehicle suspension and track the optimality of the LQG control system, the presented vehicle suspension MRAFC system has the ability to adapt to road conditions and suspension parameters change.
引用
收藏
页码：342 / 346
页数：5
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