Robust sensorless speed control purpose for induction motors

This paper deals with a new approach of robust sensorless speed control intended to the induction motors. The speed estimation is done from the double use of the so-called self-control process (SCP) of the induction machine which characterizes the relationship between the stator, rotor and mechanical frequencies. Hence, in this approach, the output torque-current controller generates the so-called speed-command instead of the conventional rotor-frequency-command. This speed-command gives the estimated speed which added to estimated-rotor-frequency provides the required stator-frequency-command. The conducted simulation and experiment tests attest favorably the robustness, the effectiveness and the simplicity of the proposed approach.

[1]  Adel Razek,et al.  Reduced-order observers for rotor flux, rotor resistance and speed estimation for vector controlled induction motor drives using the extended Kalman filter technique , 1999 .

[2]  Mickael Hilairet,et al.  Two efficient Kalman filters for flux and velocity estimation of induction motors , 2000, 2000 IEEE 31st Annual Power Electronics Specialists Conference. Conference Proceedings (Cat. No.00CH37018).

[3]  K. Matsuse,et al.  Speed sensorless field oriented control of induction motor with rotor resistance adaptation , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[4]  Giuseppe Guidi,et al.  Consideration about problems and solutions of speed estimation method and parameter tuning for speed sensorless vector control of induction motor drives , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[5]  E. Mendes,et al.  Robust rotor flux, rotor resistance and speed estimation of an induction machine using the extended Kalman filter , 1999, ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465).

[6]  Joachim Holtz Sensorless Position Control of Induction Motors , 1998 .

[7]  L. Ben-Brahim,et al.  Speed control of induction motor without rotational transducers , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[8]  H. Kubota,et al.  DSP-based speed adaptive flux observer of induction motor , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[9]  J. Holtz,et al.  Drift and parameter compensated flux estimator for persistent zero stator frequency operation of sensorless controlled induction motors , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[10]  Lu Zhen,et al.  Sensorless field orientation control of induction machines based on a mutual MRAS scheme , 1998, IEEE Trans. Ind. Electron..

[11]  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,.

[12]  Joachim Holtz,et al.  Drift and parameter compensated flux estimator for persistent zero stator frequency operation of sensorless controlled induction motors , 2002 .

[13]  John Chiasson,et al.  A comparison of sensorless speed estimation methods for induction motor control , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[14]  Werner Leonhard,et al.  Control of Electrical Drives , 1990 .