Adaptive neural control of a permanent magnet synchronous motor

被引：11
|
作者：
Liu, Tengfei [1 ]
Wang, Cong [1 ]
机构：
[1] South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2006年 / 1卷 / 03期
基金：
中国国家自然科学基金;
关键词：
adaptive neural control; permanent magnet synchronous motor; speed controller; Multi-Input/Multi-Output (MIMO) non-linear system; uncertainties;
D O I：
10.1504/IJMIC.2006.011942
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The speed control of Permanent Magnet Synchronous Motors (PMSM) is a problem of Multi-Input/ Multi-Output (MIMO) non-linear system control. This problem is complicated and difficult due to the uncertainties and the non-linear couplings among inputs and outputs. In this paper, an adaptive neural control scheme is proposed for stable MIMO control of Interior Permanent Magnet Synchronous Motor (IPMSM). A systematic design procedure is provided in which the problem of non-linear couplings is successfully solved. A non-linear damping technique is used to cope with the time-varying load disturbance. Simulation results are included to show the effectiveness of the proposed scheme.
引用
收藏
页码：191 / 199
页数：9
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