DocumentCode :
666178
Title :
Estimation of SRM rotor position based on coordinate transformation
Author :
Jun Cai ; Qing-Chang Zhong ; Zhiquan Deng
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
2786
Lastpage :
2791
Abstract :
Accurate rotor position estimation of Switched Reluctance Motor is vital but still a great challenge for sensorless control. In this paper, a new position estimation method is proposed. The estimated three phase inductances can be seen as vectors with fixed phase difference, which are located in the a-b-c stationary coordinate system. Rotating the a-b-c coordinate system with a δ angle, a new aδ-bδ-cδ coordinate system can be constructed. After rotating coordinate transformation, the THD of normative value of the three coordinate components is lower than 5%, which can be approximated by its fundamental component. Based on the α-β coordinate transformation theory, the synchronous rotating angle of the space vector can be estimated, and then the rotor position can be calculated by compensating a phase difference. Simulation and experiments have been done for verification. This method effectively solves the challenges in initial rotor position estimation and is suitable for sensorless control under light load conditions in a wide speed range. In addition, this method possesses high grade performance and does not require additional hardware or memory, which simplifies the implementation.
Keywords :
harmonic distortion; reluctance motors; rotors; α-β coordinate transformation theory; δ angle; SRM rotor position estimation method; THD; a-b-c stationary coordinate system; coordinate components; coordinate transformation; fixed phase difference compensation; phase inductances; rotating coordinate transformation; sensorless control; space vector; switched reluctance motor; synchronous rotating angle; Estimation; Inductance; Rotors; Sensorless control; Switched reluctance motors; Vectors; Switched Reluctance Motor; coordinate transformation; phase inductance; position estimation; sensorless;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699572
Filename :
6699572
Link To Document :
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