论文信息 - A comparison of estimation techniques for sensorless vector controlled induction motor drives

A comparison of estimation techniques for sensorless vector controlled induction motor drives

A comparison of model reference adaptive system (MRAS) and extended Kalman filter (EKF) based speed and rotor flux estimation applied to an experimental vector controlled induction motor drive is undertaken. Steady-state and transient performance of each technique is analyzed and the effects of estimator parameter variation are studied. Experimental results from real-time implementations of both techniques on a purpose built vector controlled induction motor drive are presented and discussed, with reference to practical implementation issues.

David J. Atkinson | P. P. Acarnley | G. J. Armstrong

[1] Seung-Ki Sul,et al. Speed sensorless vector control of induction motor using extended Kalman filter , 1994 .

[2] C. Schauder,et al. Adaptive speed identification for vector control of induction motors without rotational transducers , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[3] Seung-Ki Sul,et al. Speed sensorless vector control of an induction motor using an extended Kalman filter , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[4] K. J. Bradley,et al. An FFT-based novel approach to noninvasive speed measurement in induction motor drives , 1992 .

[5] David J. Atkinson,et al. Observers for induction motor state and parameter estimation , 1991 .

[6] David J. Atkinson,et al. Estimation of rotor resistance in induction motors , 1996 .

[7] Mark Sumner,et al. Dynamic performance limitations for MRAS based sensorless induction motor drives. Part 1: Stability analysis for the closed loop drive , 1996 .