DocumentCode :
1591166
Title :
Robust sensorless rotor position detection in switched reluctance motors for low speed applications
Author :
Salmasi, F.R. ; Fahimi, B. ; Gao, H. ; Ehsani, M.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
2
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
839
Abstract :
There have been several approaches to the problem of sensorless rotor position detection in switched reluctance motors but the great majority of them are not appropriate for low speed operation of SRM since those methods are based on voltage equation integration to estimate the flux or neglecting the emotional back EMF in that equation. This paper proposes a method to the sensorless control of SRM for low speed operation. A novel position estimation equation is derived based on an analytical model for SRM and current waveform. This method is robust to the winding resistance variations or measurement error and current noise. The algorithm has been implemented on the TMS320LF2407 fixed point DSP and has been applied to a 1 hp SRM test bed successfully
Keywords :
digital signal processing chips; machine control; measurement errors; position measurement; reluctance motor drives; robust control; rotors; 1 hp; SRM drives control; TMS320LF2407 fixed point DSP; current noise; current waveform; low speed applications; measurement error; position estimation equation; robust sensorless rotor position detection; switched reluctance motors; winding resistance variations; Analytical models; Digital signal processing; Equations; Measurement errors; Noise robustness; Reluctance machines; Reluctance motors; Rotors; Sensorless control; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
ISSN :
0275-9306
Print_ISBN :
0-7803-7067-8
Type :
conf
DOI :
10.1109/PESC.2001.954224
Filename :
954224
Link To Document :
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