Model reference adaptive control of asynchronized synchronous motor based on neural network on-line identification

被引：0
|
作者：
Liu, Li [1 ]
He, Xiaoqiong [1 ]
Xiao, Jian [1 ]
Weiss, Helmut [2 ]
机构：
[1] SW Jiao Tong Univ, Sch Elect Engn, Chengdu, Peoples R China
[2] Univ Leoben, Inst Elect Engn, A-8700 Leoben, Austria
来源：
2006 12TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
From system control point of view, asynchronized synchronous motor is a complex nonlinear plant with uncertainties, and is hard to be controlled by traditional control method. An excitation control method based on model reference adaptive control of asynchronized synchronous motor using neural network on-line identification is proposed in this paper. This method utilizes the mapping abilities of neural networks to construct the reference model of the plant, and self-learning is achieved by means of neuron. The simulation results show a better robustness and control accuracy of the proposed method.
引用
收藏
页码：1399 / +
页数：2
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