A fuzzy neural network controller in the electrohydraulic position control system

被引：0
|
作者：
Gao, JC [1 ]
Wu, PD [1 ]
机构：
[1] Beijing Inst Technol, Mechatron Ctr, Beijing 100081, Peoples R China
来源：
1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年
关键词：
fuzzy control theory; servo valves; position control systems; neural network; DSP;
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：
A fuzzy neural network controller combines both the advantages of neural network and fuzzy control. It is an excellent control strategy for hydraulic position control system. In this paper, a type of fuzzy neural network structure is proposed. By means of DSP, an efficient way for implementing the fuzzy neural network real-time control is obtained. This fuzzy neural network controller adjusts the parameters of membership functions on-line in order to acquire the required control performance. The experiments in the electrohydraulic position control system prove the practicability of this fuzzy neural network controller.
引用
收藏
页码：58 / 63
页数：6
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