Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17585
Title: Sensorless position estimation of switched reluctance motor at startup using quadratic polynomial regression
Authors: Chang, YT
Cheng, KWE 
Issue Date: 2013
Publisher: Inst Engineering Technology-Iet
Source: IET electric power applications, 2013, v. 7, no. 7, p. 618-626 How to cite?
Journal: IET Electric Power Applications 
Abstract: Sensorless position sensing of switched reluctance motor (SRM) has been of great interests to researchers for reducing costs and increasing reliability of the system. The startup position estimation is a difficult task. This study presents a new method to estimate motor phase positions during startup. It is based on the general magnetic characteristics of the inductance profile in an SRM. All phase positions are estimated without using any specific magnetic information. The calculation is simple and can be implemented easily and executed efficiently in a microcontroller.
URI: http://hdl.handle.net/10397/17585
ISSN: 1751-8660
DOI: 10.1049/iet-epa.2012.0306
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