PMLSM Controller Design Based on Self-Constructing Feedback Fuzzy Neural Network

被引：1
|
作者：
Wang Limei [1 ]
Zuo Tao [1 ]
Wu Zhitao [1 ]
机构：
[1] Shenyang Univ Technol, Sch Elect Engn, Shenyang 110178, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
Self-constructing Feedback Fuzzy Neural Network; PMLSM; Motor Position Control;
D O I：
10.1109/CCDC.2009.5192880
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Self-constructing feedback fuzzy neural network controller (SCFFNNC) is designed to aim at the parameter uncertainties for permanent magnet linear synchronous motor (PMLSM) since they cause negative influence to the dynamic performance of PMLSM servo system. The thought about self-constructing, in which the number of neurons for the whole structure can be able to increase on line according to the variety of error, is introduced based oil combining the non-linear identification of fuzzy control with self-learning of neural network, It can reserve the self-learning abilities, improve the real-time performance for neural network and then enhance the dynamic performance of PMLSM. The simulation results show that the servo system for PMLSM based on SCFFNNC can realize quick response, high precision and strong robustness for the parameter uncertainties of PMLSM.
引用
收藏
页码：3146 / 3150
页数：5
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