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
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