Review on model reference adaptive system for sensorless vector control of induction motor drives

被引:152
|
作者
Kumar, Rakesh [1 ]
Das, Sukanta [1 ]
Syam, Prasid [2 ]
Chattopadhyay, Ajit Kumar [2 ]
机构
[1] Indian Sch Mines, Dept Elect Engn, Dhanbad, Jharkhand, India
[2] Indian Inst Engn Sci & Technol, Dept Elect Engn, Howrah, W Bengal, India
关键词
ARTIFICIAL NEURAL-NETWORK; FIELD-ORIENTED-CONTROL; LOW-SPEED OPERATION; STATOR RESISTANCE; ROTOR RESISTANCE; PERFORMANCE; FLUX; MACHINE; MRAS; IDENTIFICATION;
D O I
10.1049/iet-epa.2014.0220
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The most frequently used electrical machine in various modern high-performance drive applications is the induction motor (IM), especially its squirrel cage type rotor counterpart. The high-precision, efficient control of sensorless IM drives throughout its operating range demands an exact knowledge of a few of the IM parameters. The stator resistance, rotor resistances are such important IM parameters whose variations may lead to improper estimation of speed over the whole operating range in sensorless drives. Numerous methods for the estimation of speed of high-performance sensorless IM drives taking into account the effect of parameter variations have been developed. This paper aims at providing a review of the major model reference adaptive system (MRAS) based techniques applied for the estimation of speed of such sensorless drives. This paper is illustrated throughout with relevant mathematical equations, experimental and simulation results, associated to different MRAS-based sensorless vector control of the IM drive.
引用
收藏
页码:496 / 511
页数:16
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