DocumentCode :
3231083
Title :
Stator resistance tuning in an adaptive direct field-orientation induction motor drive at low speeds
Author :
Beguenane, R. ; Ouhrouche, Mohand A. ; Trzynadlowski, Andrzej M.
Author_Institution :
Appl. Sci. Dept., Quebec Univ., Chicoutimi, Que., Canada
Volume :
1
fYear :
2004
fDate :
2-6 Nov. 2004
Firstpage :
68
Abstract :
A novel simple stator resistance estimation technique for high-performance induction motor drives is proposed. It makes use of a synchronously revolving reference frame aligned with the stator current vector, so that the resistance can be straightforwardly derived from the mathematical model of the induction motor. A sensorless direct field orientation scheme is employed to validate the proposed solution, with the drive operating in the critical area of low speeds. A combination of two observers is used: a Kalman-filter observer to estimate the rotor flux, and a MRAS observer for speed estimation. The stator resistance estimator alleviates the usual performance degradation of MRAS-based drives at low speeds, caused by the thermal drift of that resistance. Computer simulations, including realistic disturbances, show high effectiveness of the described approach. Comparison of performance of the drive with and without the proposed stator resistance estimator demonstrates a crucial role of that device.
Keywords :
Kalman filters; digital simulation; electric machine analysis computing; induction motor drives; machine vector control; model reference adaptive control systems; observers; rotors; stators; tuning; Kalman-filter observer; MRAS observer; computer simulation; induction motor drive; mathematical model; rotor flux; sensorless direct field orientated control; speed estimation; stator resistance tuning; thermal drift; Electric resistance; Frequency estimation; Induction motor drives; Induction motors; Rotors; Sensorless control; Stators; Temperature measurement; Thermal resistance; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
Type :
conf
DOI :
10.1109/IECON.2004.1433286
Filename :
1433286
Link To Document :
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