DocumentCode :
3408348
Title :
A sliding mode adaptive MRAS speed estimator for induction motors
Author :
Comanescu, Mihai ; Utkin, Vadim
Author_Institution :
Electr. Eng. at Penn State Altoona, Ohio State Univ., Columbus, OH
fYear :
2008
fDate :
June 30 2008-July 2 2008
Firstpage :
634
Lastpage :
638
Abstract :
The paper presents a speed estimator for the induction motor (IM) drive. The estimation method is based on the rotor flux MRAS principle and uses sliding mode theory. In sensorless speed control, the accuracy and dynamic behavior of the speed estimate are important since this is used for feedback. The proposed estimation method uses the rotor fluxes as reference quantities in a MRAS scheme and attempts to estimate simultaneously the IM speed and the rotor time constant. Adaptation equations for the speed and the time constant are adopted based on Lyapunovpsilas theory of nonlinear stability. With the equations obtained, due to singularity, only a speed estimator is obtained. The method assumes that the rotor fluxes in the stationary reference frame are available and uses them as reference quantities - this is the typical case with a direct field oriented IM drive. Simulation results on a 1/4 hp three-phase motor show good accuracy and satisfactory estimation dynamics.
Keywords :
Lyapunov methods; induction motor drives; machine control; model reference adaptive control systems; rotors; stability; variable structure systems; velocity control; Lyapunov theory; MRAS speed estimator; induction motor drive; model reference adaptive system; nonlinear stability; rotor fluxes; sensorless speed control; sliding mode adaptive estimator; Electrical resistance measurement; Feedback; Induction motors; Nonlinear equations; Parameter estimation; Rotors; Stability; Stators; Velocity control; Yield estimation; induction machine; sensorless control; speed estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-1665-3
Electronic_ISBN :
978-1-4244-1666-0
Type :
conf
DOI :
10.1109/ISIE.2008.4676921
Filename :
4676921
Link To Document :
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