Fuzzy learning enhanced speed control of an indirect field-oriented induction machine drive

被引：60
|
作者：
Zhen, L [1 ]
Xu, LY [1 ]
机构：
[1] Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA
来源：
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2000年 / 8卷 / 02期
关键词：
field orientation control; fuzzy learning; fuzzy logic; induction machine control; model reference learning; on-line tuning;
D O I：
10.1109/87.826798
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Idirect field orientation (IFO) induction machine drives are increasingly employed in industrial drive systems, but the drive performance often degrades for the machine parameter variations. In this paper, a fuzzy model reference learning control (FMRLC) technique is applied in an IFO induction machine drive, such that the machine can follow a reference model (an ideal field oriented machine) to achieve desired speed performance. Experimental results are presented to verify the effectiveness of the proposed control scheme.
引用
收藏
页码：270 / 278
页数：9
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