Abstract
There is no available sensorless technique for hysteresis motors. This paper presents a comparative study of two different speed observer techniques for hysteresis motor drive. Luenberger observer (LO) and model reference adaptive system (MRAS) techniques are considered. The speed estimation algorithm based on both techniques are derived and implemented in Simulink. The robustness of both speed estimation algorithms against load torque changes is investigated. Hysteresis motors are super high speed motors that are used in different type of applications such as micro gas turbines, high-speed centrifuges, and machine tool spindle drives. They are basically synchronous motors; however they can also work in asynchronous mode. For some special applications, hysteresis motor may work at asynchronous mode, and knowing the motor’s speed characteristics is necessary. Moreover, in these cases, using speed sensors is impossible due to the load and difficulty of installation; therefore, using sensorless methods is the proper solution. Simulation results are presented and discussed.
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Copeland, M.A., Slemon, G.R.: An Analysis of the Hysteresis Motor: part-II-The Circumferential-flux Machine. IEEE Transaction on Power Apparatus and Systems 83, 619–625 (1964)
Rahman, M.A.: Analytical Models for Polyphase Hysteresis Motor. IEEE Transaction on Power Apparatus and System 92, 137–242 (1973)
Robertson, S.D.T., Zaky, S.Z.G.: Analysis of the Hysteresis Machine-part-I. IEEE Transaction on Power Apparatus and Systems 88, 474–483 (1969)
Rahman, M.A., Qin, R.: Starting and Synchronization of Permanent Magnet Hysteresis Motors. IEEE Transaction on Industry Application 32, 1183–1189 (1996)
Rajashekara, K., Kawamura, A.: Sensorless Control of Permanent Magnet AC Motors. In: Proceedings of the IEEE Industrial Electronics, Control, and Instrumentation (IECON), vol. 3, pp. 1589–1594 (1994)
Johnson, J.P., Ehsani, M., Guzelgunler, Y.: Review of Sensorless Methods for Brushless DC. In: Proceedings of the IEEE Industry Applications Conference (IAS), vol. 1, pp. 143–150 (1999)
Yongchang, Z., Zhengming, Z.: Speed Sensorless Control for Three-Level Inverter-Fed Induction Motors Using an Extended Luenberger Observer. In: IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 3–5 (2008)
Sai Kumar, P., Siva Kumar, J.S.V.: Model Reference Adaptive Controlled Application to the Vector Controlled Permanent Magnet Synchronous Motor Drive. International Journal of Power System Operation and Energy Management (IJPSOEM) 1, 35–41 (2011)
Darabi, A., Lesani, H.: Modeling and Optimum Design of Disk-Type Hysteresis Motors. In: Proc. of the IEEE International Conference on Electrical Machines and Systems, pp. 998–1002 (2007)
Omer, M.A., Wed, B.: Investigation of the Dynamic Performance of Hysteresis Motors using MATLAB/SIMULINK. Journal of Electrical Engineering 56, 106–109 (2005)
Ong, C.M.: Dynamic Simulations of Electric Machinery. Prentice-Hall Inc. (1998)
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© 2012 Springer-Verlag Berlin Heidelberg
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Niasar, A.H., Moghbelli, H., Yavari, M. (2012). Sensorless Speed Control of Hystersis Motor Based on Model Reference Adaptive System and Luenberger Observer Techniques. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34500-5_54
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DOI: https://doi.org/10.1007/978-3-642-34500-5_54
Publisher Name: Springer, Berlin, Heidelberg
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