Development of a Speed Sensorless IM Drives
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337021Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1654
 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
 Y. Agrebi Zorgani, Y. Koubaa, M. Boussak, "Simultaneous Estimation of Speed and Rotor Resistance in Sensorless ISFOC Induction Motor Drive Based on MRAS Scheme”, XIX International Conference on Electrical Machines - ICEM 2010, Rome.
 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, Yongdon Li and Zedong Zheng, "Research of Speed sensorless Vector Control of an Induction Motor Based on Model Reference Adaptive System” 2009 IEEE
 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.
 S.M. Gadoue, D. Giaouris and J.W. Finch, "ANew Fuzzy Logic Based Adaptation Mechanism for MRAS Sensorless Vector Control Induction Motor Drives”.
 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.
 Mabrouk Jouili, Kamel Jarray, Yassine Koubaa and Mohamed Boussak, "A Luenberger State Observer for Simultaneous Estimation of Speed and Rotor Resistance in sensorless Indirect Stator Flux Orientation Control of Induction Motor Drive”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 6, No 3, November 2011.
 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.