Title :
A Novel Adaptive Scheme for Stator Resistance Estimation in Sensorless Induction Motor Drives
Author :
Li, Han ; Xuhui, Wen ; Guilan, Chen
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
Abstract :
This paper presents a new adaptive scheme for online estimation of stator resistance in speed-sensorless induction motor drives. The 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 resistance estimation in sensorless vector control of induction motors 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 integration adaptive algorithm. Finally the feasibility of the scheme is verified by simulation
Keywords :
Lyapunov methods; induction motor drives; machine vector control; model reference adaptive control systems; observers; stators; Luenberger observer stability; Lyapunov´s theorem; MRAS approach; induction motor drives; model reference adaptive system; sensorless vector control; stator resistance estimation; Adaptive algorithm; Adaptive control; Electric resistance; Induction motor drives; Induction motors; Machine vector control; Mechanical sensors; Rotors; Stability; Stators; Luenberger observer; adaptive scheme; induction motor; sensorless; stator resistance;
Conference_Titel :
Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0448-7
DOI :
10.1109/IPEMC.2006.4778151
