Identification and adaptive control for electro-hydraulic servo system using neural networks

被引：0
|
作者：
Huang, AY [1 ]
Rong, YM [1 ]
Zhang, ZF [1 ]
Hu, JJ [1 ]
机构：
[1] Wuhan Automat Polytech Univ, Coll Mechatron Engn, Wuhan 430070, Peoples R China
来源：
1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年
关键词：
system identification; adaptive control; neural networks; optimal tracker; electro-hydraulic servo system; simulation;
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：
It is reasonable for an electro-hydraulic servo system (EHSS), which is inherently nonlinear and variable with time, to employ adaptive control. This paper studied the neural identification and adaptive control for a practical EHSS, and previously designed the performance index tracker in quadratic form successfully. The optimal tracker. identification and adaptive control mere simulated. The obtained results show that it is feasible for neural networks to be used for identification and adaptive central of electro-hydraulic servo systems. They can overcome the inherent nonlinearities and conduct nonlinear control in EHSS, enhace adaptability, robustness and improve stable state accuracy of the system.
引用
收藏
页码：688 / 692
页数：5
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