Sensorless Control of Induction Motor Based on Model Reference Adaptive System (MRAS)

Authors

  • Vasupalli Manoj Assistant Professor, Department of Power Engineering, GMR Institute of Technology, Razam, Andhra Pradesh, India

DOI:

https://doi.org/10.53555/eee.v2i5.393

Keywords:

Sensorless induction motor,, fuzzy PID controller,, Model Reference Adaptive System(MRAS)

Abstract

Over the past two decades technological advances in power electronics and an increasing demand for high performance industrial machinery has contributed to rapid developments in digital motor control. The aim of this paper is to design a fuzzy logic controller to control the speed induction motor drive operating without a speed or position sensor but having a dynamic performance comparable to a sensored vector drive. This paper presents the control of an induction motor through sensorless vector control using  pid and fuzzy pid controller. The theoretical basis of each algorithm is explained in detail and its performance is tested with simulations  implemented in MATLAB/SIMULINK. 

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References

Abbondanti, A. and Brennen, M.B. (1975). Variable speed induction motor drives use electronic slip calculator based on motor voltages and currents. IEEE Transactions on Industrial Applications, vol. IA-11, no. 5: pp. 483-488.

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Griva, G., Profumo, F., Illas, C., Magueranu, R. and Vranka, P. (1996). A unitary approach to speed sensorless induction motor field oriented drives based on various model reference schemes. IEEE/IAS Annual Meeting, pp. 1594-1599.

Viorel, I. A. and Hedesiu, H. (1999). On the induction motors speed estimator’s robustness against their parameters. IEEE Journal. pp. 931-934.

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Published

2016-05-31

How to Cite

Manoj, V. (2016). Sensorless Control of Induction Motor Based on Model Reference Adaptive System (MRAS). International Journal For Research In Electronics & Electrical Engineering, 2(5), 01–06. https://doi.org/10.53555/eee.v2i5.393