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Reseach Article

Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation

by R. A. Gupta, Rajesh Kumar, S.K.Bishnoi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 22
Year of Publication: 2010
Authors: R. A. Gupta, Rajesh Kumar, S.K.Bishnoi
10.5120/439-670

R. A. Gupta, Rajesh Kumar, S.K.Bishnoi . Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation. International Journal of Computer Applications. 1, 22 ( February 2010), 72-79. DOI=10.5120/439-670

@article{ 10.5120/439-670,
author = { R. A. Gupta, Rajesh Kumar, S.K.Bishnoi },
title = { Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 22 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 72-79 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number22/439-670/ },
doi = { 10.5120/439-670 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:51.817643+05:30
%A R. A. Gupta
%A Rajesh Kumar
%A S.K.Bishnoi
%T Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 22
%P 72-79
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes an accurate rotor position estimation, which is very important for high performance operation of Switched Reluctance Motor (SRM). Earlier, a rotor position sensor has been used for sensing the rotor position. The position sensor used in SRM drives have the disadvantages of additional cost, electrical connections, mechanical alignment problems, less suitability to space restricted applications and significant disadvantage of being inherent source of unreliability. These bottlenecks have been motivated for the development of several sensorless techniques in the recent years. Here, a proposed sensorless scheme based on fuzzy system is used to overcome the disadvantages of sensor scheme. The rotor position or angle can be estimated by using the unique relationship between flux linkage and phase current in term of fuzzy rule base. Both simulation and experiment results on a Digital Signal Processor (DSP) based real time drive are presented to show the effectiveness of this scheme. The proposed scheme is provided to demonstrate the validity for implementing it to real world problems

References
  1. Buju G. S., Menis Roberto and Valla Maria. J, “Variable Structure Control of an SRM Drives”, IEEE Trans. on Ind. Electron., Vol. 1, Feb 1993, pp 56-63.
  2. R. Krishnan, “Switched Reluctance Motor Drives: Modelling, Simulation, Analysis, Design, and Applications”, CRC Press, 2001.
  3. T. J. E. Miller. “Electronic control of switched reluctance motors”. Newnes Power Engineering Series Oxford, UK, 2001.
  4. TMS320F2812 Datasheet, Texas Instruments, 2002.
  5. F.Soares, P.J.Costa Branco, “Simulation of a 6/4 Switched Reluctance Motor Based on Matlab/Simulink Environment,” IEEE Trans. on Aerospace and Electronic System, vol. 37, no. 3, pp. 989-1009, July 2001.
  6. G. Baoming and Z. Nan, “DSP- based Discrete-Time Reaching Law Control of Switched Reluctance Motor”, IEEE International conference IPEMC, 2006, pp. 1-5.
  7. G. Gallegos-Lopez, P. C. Kjaer, and T. J. E. Miller, “High-grade position estimation for SRM drives using flux linkage/current correction model,” IEEE Trans. Ind. Appl., vol. 35, no. 4, pp. 859–869, Jul./Aug. 1999.
  8. Ramasamy G., Rajandran R.V., Sahoo N.C., “Modeling of Switched Reluctance Motor drive System using Matlab/Simulink for Performance Analysis of Current Controllers”, IEEE PEDS, 2005, pp. 892-897.
  9. R. Kumar, R. A. Gupta and S. K. Bishnoi, “Converter Topologies for Switched Reluctance Motor Drives”, International Review of Electrical Engineering, Vol. 3, No. 2 , March-April 2008, pp. 289-299.
  10. Mehrdad Eshani, Iqbal Husain, Sailendra Mahajan and K. R. Ramani, “New Modulation Encoding Techniques for Indirect Position Sensing in Switched Reluctance Motors”, IEEE Trans. Industry Appl., Vol. 30, No. 1, January/February 1994, pp. 85-91.
  11. J. Bu and L. Xu, “Eliminating starting hesitation for reliable sensorless control of switched reluctance motors,” IEEE Trans. Ind. Appl., vol. 37, no. 1, pp. 59–66, Jan./Feb. 2001.
  12. Mehrdad Eshani, Iqbal Husain and Ashok B. Kulkarni, “Elimination of Discrete Position Sensor and Current Sensor in Switched Reluctance Motor Drives”, IEEE Trans. Industry Appl., Vol. 28, No. 1, January/February 1992, pp. 128-135.
  13. Hongwei Gao, Salmasi, F.R., Ehsani, M., “Inductance model-based sensorless control of the switched reluctance motor drive at low speed,” IEEE Trans. On Power Electron., Vol. 19, Issue 6, pp. 1568-1573, Nov. 2004.
  14. Gilberto C. D. Sousa, B. K. Bose,” A Fuzzy Set Theory Based Control of a Phase Controlled Converter DC Machine Drive”, Trans. on Industry Appl., Vol.30, No.1, Jan.1994.
  15. Adrian Cheok and Nesimi Ertugrul, “High Robustness and Reliability of a Fuzzy Logic Based Angle Estimation Algorithm for Practical Switched Reluctance Motor Drives”, IEEE International Conference, 1998, pp. 1302-1308.
  16. Adrian D. Cheok and Nesimi Ertugrul, “Use of Fuzzy Logic for Modeling, Estimation, and Prediction in Switched Reluctance Motor Drives”, IEEE Trans. on Ind. Electron., Vol. 46, No. 6, December, 1999, pp. 1207-1224.
  17. Rajesh Kumar, R. A. Gupta, Sachin Goyal and S.K.Bishnoi, “Fuzzy Tuned PID Controller Based PFC Converter-Inverter Fed SRM Drive”, IEEE International Conference Ind. Technology, December 15-17, 2006, pp.2498-2503.
  18. M. Ehsani and B. Fahimi, “Elimination of position sensors in switched reluctance motor: State of the art and future trends,” IEEE Trans. Ind. Electron., vol. 49, no. 1, pp. 40–47, Feb. 2002.
  19. P. Acarnley and J. Watson, “Review of position-sensorless operation of brushless permanent-magnet machines,” IEEE Trans. Ind. Electron., vol. 53, no. 2, pp. 352–362, 2006.
  20. D. S. Reay and B. W. Williams, “Sensorless position detection using neural networks for the control of switched reluctance motors,” in Proc. IEEE Int. Conf. Control Appl., Aug. 1999, vol. 2, pp. 1073–1077.
  21. E. Mese and D. A. Torrey, “An Approach for Sensorless position estimation for Switched Reluctance Motors using artificial neural networks,” IEEE Trans. Power Electron., vol. 17, no. 1, pp. 66–75, Jan. 2002.
  22. R. Krishnan, S. Park, and K. Ha, “Theory and operation of a four-quadrant switched reluctance motor drive with a single controllable switch—The lowest cost four-quadrant brushless motor drive,” IEEE Trans. Ind. Appl., vol. 41, no. 4, pp. 1047–1055, Jul./Aug. 2005.
Index Terms

Computer Science
Information Sciences

Keywords

8/6 SRM DSP (TMS320F2812) Sensorless Scheme Fuzzy Estimator