文献类型：会议论文

英文题名：Self-adjustment fuzzy control of automobile active suspension

作者：Sun, Jianmin[1]; Yang, Qingmei[2]

第一作者：Sun, Jianmin

通讯作者：Sun, J.

机构：[1] Department of Mechanical and Electrical 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：Department of Mechanical and Electrical Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China

通讯机构：[1]Department of Mechanical and Electrical Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China

会议论文集：2005 IEEE Intelligent Vehicles Symposium, Proceedings

会议日期：June 6, 2005 - June 8, 2005

会议地点：Las Vegas, NV, United states

语种：英文

外文关键词：Acceleration - Adaptive algorithms - Automobile driver simulators - Degrees of freedom (mechanics) - Fuzzy control - Least squares approximations

摘要：With the nonlinearity of the road-automotive system, an adjustable fuzzy control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The rectification factor is adjusted online according to LMS adaptive method. The factor can be influenced by exciting signal and controlled signal. For two degree-of-freedom (DOF) automotive model, the simulation of automotive 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 automotive model, the experiment effect is basically similar to simulation results. It proves further the validity of advanced algorithm. ? 2005 IEEE.