A Luenberger State Observer for Stator Resistance Estimation in Sensorless Induction Motor Drives
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The primary objective of this paper is to elimination of the problem of sensitivity to parameter variation of induction motor drive. The proposed sensorless strategy is based on an algorithm permitting a better simultaneous estimation of the rotor speed and the stator resistance including an adaptive mechanism based on the lyaponov theory. To study the reliability and the robustness of the sensorless technique to abnormal operations, some simulation tests have been performed under several cases. The proposed sensorless vector control scheme showed a good performance behavior in the transient and steady states, with an excellent disturbance rejection of the load torque.
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K. Kouzi, L, Mokrani and M-S, Nait “High Performances of Fuzzy Self-Tuning Scaling Factor of PI Fuzzy Logic Controller Based on Direct Vector Control for Induction Motor Drive without Flux Measurements”, 2004 IEEE International Conference on Industrial Technology
Meo, S., Perfetto, A., Esposito, F., Fuel-cell based inverter for residential systems, 5th IASTED International Conference on POWER AND ENERGY SYSTEMS (EuroPES 2005), June 15-17, 2005, Benalmádena, Spain, art. no. 468-149, pp. 49-54.
Meziane S, Toufouti R, Benalla H. “MRAS based speed control of sensorless induction motor drives”. ICGST-ACSE Journal 2007; 7(1):43–50.
Yali Zhou; Yongdong Li; Zedong Zheng, "Research of speed sensorless vector control of an induction motor based on model reference adaptive system," Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on, vol., no., pp.1381,1384, 17-20 Oct. 2008
Juraj Gacho, Milan Zalman, “IM Based Speed Servodrive With Luenberger Observer”, Journal of Electrical Engineering, VOL. 61, NO. 3, 2010, 149–156
Han Li, Wen Xuhui, Chen Guilan, “ General Adaptive Schemes for Resistance and Speed Estimation in Induction Motor Drives”, 2006 IEEE COMPEL Workshop, Rensselaer Polytechnic Institute, Troy, NY, USA, July 16-19, 2006
Gadoue, S.M.; Giaouris, D.; Finch, J.W., "A new fuzzy logic based adaptation mechanism for MRAS sensorless vector control induction motor drives," Power Electronics, Machines and Drives, 2008. PEMD 2008. 4th IET Conference on , vol., no., pp.179,183, 2-4 April 2008.
Mohamed S. Zaky, “ Stability Analysis of Simultaneous Estimation of Speed and Stator Resistance for Sensorless Induction Motor Drives”, Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10), Cairo University, Egypt, December 19-21, 2010, Paper ID 180
Damiano, A., Gatto, G., Marongiu, I., Meo, S., Perfetto, A., Serpi, A., A predictive direct torque control of induction machines, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 4837-4844.
M. Messaoudi, L. Sbita, M. Ben Hamed and H. Kraiem, “MRAS and Luenberger Observer Based Sensorless Indirect Vector Control of Induction Motors”, Assain Journal of Information Technology 7 (5): 232-239,2008.
V. Vasic and S. Vukosavic “Robust MRAS-based algorithm for stator resistance and rotor speed identification,” IEEE Power Engineering Review, November 2001.
Yaolong, T., Chang, J., Hualin, T., ‘Adaptive Backstepping Control and Friction Compensation for AC Servo with Inertia and Load Uncerainties’, IEEE Trans. On Ind. Elect., Vol 50, No. 5, 2003. pp 145- 155.
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