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http://dx.doi.org/10.5391/JKIIS.2004.14.6.705

Detection of Rotor Position at Standstill for a TSRM Using Neural Network  

Yang, Hyong-Yeol (전남대학교 전기공학과)
Ryoo, Young-Jae (목포대학교 제어시스템공학과)
Lim, Young-Cheol (전남대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 705-712 More about this Journal
Abstract
In this paper, detection of rotor position at standstill of toroidal switched reluctance motor(TSRM) with built-in search coils using neural network is proposed. When search coils are used as a position sensor, it has many advantages like low cost, decrease in the volume, high robust characteristics and wide applications. However, the initial rotor position detection is very difficult because the search coil's EMF doesn't exist at standstill. In this paper, detection of initial rotor position of TSRM with built-in search coils using neural network is suggested. The experiment for the proposed method are presented. As a result of that, the accuracy and validity of the proposed method is verified.
Keywords
TSRM; Search coil; EMF; Neural network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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