Title :
General Adaptive Schemes for Resistance and Speed Estimation in 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 two new adaptive estimation schemes in induction motor drives. The first adaptive scheme is to simultaneously estimate on-line stator and rotor resistance of induction motor with speed-sensor. The second adaptive scheme is to simultaneously estimate stator resistance and rotor speed in sensorless induction motor drives. These two methods are based on adaptive control theory of model reference adaptive system (MRAS) approach with Luenberger observer in a similar way. And the stabilities of the observers with both adaptive estimation schemes in vector control of induction motors are proved by the Lyapunov´s theorem. Furthermore, the methods have been compared with the classical adaptive schemes based on the integration algorithms. And in fact, the proposed methods are generalization of the integration adaptive algorithms. Finally the feasibility of the schemes are verified by simulation
Keywords :
Lyapunov methods; induction motor drives; integration; machine vector control; model reference adaptive control systems; observers; parameter estimation; Luenberger observer; Lyapunov´s theorem; MRAS; adaptive control theory; adaptive estimation schemes; induction motor drives; integration algorithms; model reference adaptive system; observers; rotational speed sensor; rotor resistance estimation; stator resistance estimation; vector control; Adaptive control; Adaptive estimation; Adaptive systems; Induction motor drives; Induction motors; Machine vector control; Programmable control; Rotors; Stability; Stators;
Conference_Titel :
Computers in Power Electronics, 2006. COMPEL '06. IEEE Workshops on
Conference_Location :
Troy, NY
Print_ISBN :
0-7803-9724-X
Electronic_ISBN :
1093-5142
DOI :
10.1109/COMPEL.2006.305671