DocumentCode :
2856089
Title :
New General MRAS Adaptive Scheme to Estimate Stator and Rotor Resistance of Induction Motors
Author :
Li, Han ; Xuhui, Wen ; Guilan, Chen
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
Volume :
4
fYear :
2006
fDate :
8-12 Oct. 2006
Firstpage :
1775
Lastpage :
1780
Abstract :
In this paper, a new adaptive scheme for simultaneous on-line stator and rotor resistance estimation of induction motors is proposed. This method is based on the adaptive control theory of model reference adaptive system (MRAS) approach with Luenberger observer. And the stability of the observer with stator and rotor resistance estimation from the proposed adaptive scheme is proved by the Lyapunov´s theorem. Furthermore, the method has been compared with the classical adaptive scheme based on the integration algorithm. And in fact, the proposed method is a generalization of the classical integration adaptive algorithm. Finally the feasibility of the scheme is verified by simulation
Keywords :
Lyapunov methods; induction motors; machine control; model reference adaptive control systems; rotors; stators; Luenberger observer; Lyapunov theorem; adaptive control theory; induction motors; model reference adaptive system; rotor resistance estimation; stator resistance estimation; Adaptive algorithm; Adaptive control; Control systems; Electric resistance; Induction motor drives; Induction motors; Rotors; Stability; Stators; Voltage; MRAS; adaptive scheme; induction machine; rotor resistance; stator resistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE
Conference_Location :
Tampa, FL
ISSN :
0197-2618
Print_ISBN :
1-4244-0364-2
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/IAS.2006.256775
Filename :
4025463
Link To Document :
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