Two Automatic On-line New Schemes to Compensate the Torque Ripple of Switched Reluctance Machines: With and Without Torque Signal Measurement

  • Luís O. P. Henriques
  • P. J. Costa Branco
  • Walter I. Suemitsu
  • Luís G. Rolim


Each day that passes, the electrical drives operation conditions become more demanding. The use of switched reluctance motors (SRM) has magnified sufficiently with the intelligent control strategies improvement for torque ripple minimization. Another important subject is the sensors elimination, allowing that the price of the equipment is reduced. In this work, two new automatic on-line control schemes to minimize the torque ripple in SRM are presented. The first scheme is using the sensor torque, to read the information about this signal, and the second is implemented without sensor. Also, the neuro-fuzzy algorithm is presented and simulated results for two speed references are show.


Membership Function Learn Rate Phase Current Torque Ripple Torque Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Amor B. L., Dessaint L. A., Akhrif O. and Olivier, G, “Adaptive Feedback lineariza. tion for position control of a Switched Reluctance motor: Analysis and SimulationInt. Journ. Adapt. Control Signal Process., vol. 2, pp. 117–136, Mar/ Apr. 1993Google Scholar
  2. [2]
    Greenhough P., “Switched Reluctance Variable Speed Drives-A Focus on Applications”, Technology Mining-Papers and articles, Apr 1996, pp. 107–110Google Scholar
  3. [3]
    Henriques L. O., Costa Branco P.J., Suemitsu W. and Rolim L., “Automatic learning of pulse current shape for torque Ripple minimization in switched reluctance machines,” to appear inEuropean Control Conference (ECC2001), pp. 232–237, Porto-Portugal.Google Scholar
  4. [4]
    Henriques L. O. P., Rolim L. G., Suemitsu W. I., Costa Branco P. J. and Dente J.A; “Torque ripple minimization in switched reluctance drive by Neuro-Fuzzy compensation”, IEEE Transactions on Magnetics, Vol. 36, no. 5, Sep 2000, pp 3592–3594Google Scholar
  5. [5]
    Hussain I. And Elbuluk M. “Torque Ripple Minimization in Switched Reluctance Motor Drives by PWM Current ControlIEEE Transaction on Power Electronics vol. 11, no. I, Jan 1996, pp. 83–88.Google Scholar
  6. [6]
    Islan M. S. and Husain I., “Torque-ripple minimization with Indirect Position and Speed Sensing for SR MotorsIEEE Transaction on Industrial Electronics vol. 47, no 5, Oct 2000, pp 1126–1133Google Scholar
  7. [7]
    Jang J. JR. “ANFIS — Adaptive-Network-based Fuzzy Inference SystemIEEE Transaction on Systems, man and Cybernetics, vol. 23 no 3 May/June 1993, pp. 665–685Google Scholar
  8. [8]
    Lovatt H. C. and Stephenson J. M:, “Computer-optimized Current Waveforms for Switched Reluctance MotorIEE Proceedings, v. 141, Pt B, no. 2, Mar. 1994, pp. 45–51Google Scholar
  9. [9]
    Mir S., Husain I. and Elbuluk M. E., “Torque-Ripple Minimization in Switched Reluctance Motors Using Adaptative Fuzzy ControlIEEE Transaction on Industry Applications vol. 35, no. 2, Mar/Apr 1999, pp 461–468Google Scholar
  10. [10]
    Reay D. S., Green T. C. and Williams B. W. “Applications of Associative Memory Neural Networks to the Control of a Switched Reluctance Motor”IEEE Magazine of Control Systems, Jun 1995Google Scholar
  11. [11]
    Reay D. S., Green T. C. E. and Williams B. W., “Applications of Associative Memory Neural Networks to the Control of a Switched Reluctance MotorIEEE Magazine of Control Systems, Jun 1995Google Scholar
  12. [12]
    Russa K., Husain I and Elbuluk M. E., “Torque-ripple minimization in switched reluctance machines over a wide speed rangeIEEE Transactions on Industry Applications, vol. 34, no. 5, Sep-Oct 1998, pp. 1105–1112Google Scholar
  13. [13]
    Russa K., Husain I. and Elbuluk M., “Self-tuning controller for switched reluctance motorsIEEE Transactions on Power Electronics, vol. 15, no. 3, 2000, pp. 545–552CrossRefGoogle Scholar
  14. [14]
    Shramm D. S., Williams B.W., and Green T.C., “Optimum Commutation-Current Profile on Torque Linearization of Switched Reluctance Motors” in Proceedings of ICEM’ 92 Manchester Conference, Set. 1992, pp. 484–488Google Scholar
  15. [15]
    Steiert U. and Spath H., “Torque Control of the Doubly-Salient Reluctance Motor”, ETEP, v.3, n. 4, Jul/Ago 1993Google Scholar

Copyright information

© Springer-Verlag London 2002

Authors and Affiliations

  • Luís O. P. Henriques
    • 1
  • P. J. Costa Branco
    • 2
  • Walter I. Suemitsu
    • 1
  • Luís G. Rolim
    • 1
  1. 1.COPPE- Univ.Federal do Rio de JaneiroBrasil
  2. 2.Laboratório de MecatrónicaIST -Universidade Técnica de LisboaPortugal

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