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New Fuzzy Luenberger Observer for Performance Evaluation of a Sensorless Induction Motor Drive
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Abstract
The subject of the paper is design and analysis of fuzzy Luenberger observer for simultaneous estimation of rotor speed and stator resistance of induction motor drive supplied by a Three-level inverter for operating in a high-performance drives environment. The introducing of fuzzy Luenberger observer in the system helps to achieve a good dynamic response, disturbance rejection and low to plant parameter variations of the A.C drive. The fuzzy Luenberger Observer combine the advantages of both, fuzzy controller and Luenberger observer . In order to verify the performances of the proposed observer and to test behavior of the controlled system, numerical experiments are achieved. To demonstrate the potential and practicality of the presented approache.
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References
X. Wu, Y. Liu, and L. Huang, “A Novel space vector modulation algorithm for three-level PWM voltage source inverter,” in Proc. IEEE Conf. Computers, Communications, Control and Power Engineering, Vol. 3, pp. 1974–1977, Oct. 2002.
Manjrekar, M.D., Steimer, P.K., Lipo, T.A.: ‘Hybrid multilevel power conversion system: a competitive solution for high-power applications’, IEEE Trans. Ind. Appl., 2000, 36, pp. 834–841.
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”.
M. Saeedifard and A.R. Bakhshai, ‘Vector Classification and Voltage Control in PWM Threelevel Inverters’, Power Electronics Specialists Conference’04, N°35, Aachen, Germany, pp. 4411 – 4417, 20-25 June, 2004.
Lei Hu, Hongyan Wang, Yan Deng and Xiangning He, ‘A Simple SVPWM Algorithm for Multilevel Inverters’, Power Electronics Specialists Conference’04, N°35, Aachen, Germany, pp. 3476 – 3480, 20-25 June, 2004.
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
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.
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.
T. S. Kwon, M. H. Shin and D. S. Hyun, “Adaptive fuzzy control of nonlinear systems in pure feedback form based on input-to-state stability”, IEEE Trans. Fuzzy Sys., vol. 18, no. 1, (2010) February, pp. 80 - 93.
G. Faten, L. Sbita, Speed Sensorless IFOC of PMSM Based On Adaptive Luenberger Observer, International Journal of Electrical and Electronics Engineering, vol. 5, no. 3, (2010), pp. 149-155.
Md. Haseeb Khan, Arshia Azam, J. Amarnath, “Fuzzy logic based MRAS speed observer for control of induction motor drive”, World Journal of Modelling and Simulation Vol. 6 (2010) No. 2, pp. 134-140.
K. Habib, A.flah, M.Ben Hamed and L.Sbita , “High Performances Induction Motor Drive Based on Fuzzy Logic Control”, International Journal of Control and Automation Vol. 5, No. 1, March, 2012
Birou I, Maier V, Pavel S, Rusu C. Indirect vector control of an induction motor with fuzzy-logic based speed controller. Advances in Electrical and Computer Engineering 2010; 10(1):116–120.
Ramesh, T., Panda, A.K., High performance direct torque and flux control of induction motor drive using fuzzy logic based speed controller, (2013) International Review of Electrical Engineering (IREE), 8 (2), pp. 696-710.
Benharir, N., Zerikat, M., Chekroun, S., Mechernene, A., Design and analysis of a new fuzzy sliding mode observer for speed sensorless control of induction motor drive, (2012) International Review of Electrical Engineering (IREE), 7 (5), pp. 5557-5565.
Cherifi, D., Miloud, Y., Tahri, A., A luenberger state observer for stator resistance estimation in sensorless induction motor drives, (2013) International Review on Modelling and Simulations (IREMOS), 6 (2), pp. 360-369
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