Modeling and fuzzy-neural network control of electric power steering system

被引：0
|
作者：
Zhao, Jing-bo [1 ]
Chen, Long [1 ]
Jiang, Hao-bin [1 ]
Chen, Da-yu [1 ]
机构：
[1] Jiangsu Univ, Sch Automobile & Traff Engn, Zhenjiang, Jiangsu, Peoples R China
来源：
General System and Control System, Vol I | 2007年
关键词：
electric power steering; nonlinear system; fuzzy-neural network; controller;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Electric Power Steering (EPS) system has been studied to replace. traditional hydraulic power steering system in vehicles. In this research, the mechanism and dynamic characteristic was analysed and the model was developed aimed at the nonlinear MIMO system of electric power steering system. Then the fuzzy- neural network controller was designed and the corresponding simulation was performed. The results show that the proposed EPS control strategy can provide good performance of stability and controllability and can increase the anti-jamming capability of vehicle. It has practical significance to the overall design of EPS system, the improvement and optimization of EPS function and the steering manipulation safety.
引用
收藏
页码：139 / 141
页数：3
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