General Adaptive Schemes for Resistance and Speed Estimation in Induction Motor Drives

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