Untrained Artificial Neuron Based Speed Control of Interior Permanent Magnet Motor Drives over Full Operating Speed Range

被引：0
作者：
Butt, Casey [1 ]
Rahman, M. A. [1 ]
机构：
[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada
来源：
2011 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS) | 2011年
关键词：
interior permanent magnet motor; IPMSM; motor control; intelligent control; artificial neural network; SYNCHRONOUS MOTORS; SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents an intelligent speed controller for the interior pennanent magnet synchronous motor (IPMSM), based on a single artificial neuron (SAN). Traditional artificial neural network-based motor controllers require exlensive offline training, which is both time consuming and requires knowledge of motor behaviour for the specific drive system. In addition, drive behaviour is unpredictable when parameters outside the training set a re encountered. The proposed drive system overcomes these limitations by requiring no offline training, is robust under varying operating parameters and is easily adapiable to various drive systems. Drive efficacy is verified in simulation as well as experimentaly.
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页数：8
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