Skip to main content
Log in

Improvement in DTC-SVM of AC drives using a new robust adaptive control algorithm

  • Regular Papers
  • Control Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

In this paper a new robust adaptive speed controller algorithm for AC motor drives is presented. The main feature of this algorithm is that minimum synthesis is required to implement the strategy. MCS algorithm is a significant development of MRAC. The stability of the proposed system is achieved through Popov’s Hyperstability criteria. The new algorithm appeared to be robust in the face of totally unknown plant dynamics, external disturbances and parameter variations with the plant. Finally, a new approach has been successfully implemented on DTC-SVM. Extensive simulation results are presented to validate the proposed technique. The system is tested at different speeds and a very satisfactory performance has been achieved.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. I. Takahashi and Y. Ohmori, “High-performance direct torque control of induction motor,” IEEE Trans. Ind. Appl, vol. 25, no. 2, pp. 257–264, 1989.

    Article  Google Scholar 

  2. D. Casadei, F. Profumo, G. Serra, and A. Tani, “FOC and DTC: two viable schemes for induction motors torque control,” IEEE Trans. Power Electron, vol. 17, no. 5, pp. 779–787, 2002.

    Article  Google Scholar 

  3. T. Noguchi, M. Yamamoto, S. Kondo, and I. Takahashi, “High frequency switching operation of PWM inverter for direct torque control of induction motor,” Proc. of IEEE IAS Annual Meeting, pp. 775–780, October 1997.

  4. K. B. Lee, J. H. Song, I. Choy, and J. Y. Yoo, “Torque ripple reduction in DTC of induction motor driven by three-phase inverter with low switching frequency,” IEEE Trans. Power Electron, vol. 17, no. 2, pp. 255–264, 2002.

    Article  Google Scholar 

  5. K. B. Lee and F. Blaabjerg, “Improved direct torque control for sensorless matrix converter drives with constant switching frequency and torque ripple reduction,” International Journal of Control, Automation, and Systems, vol. 4, no. 1, pp. 113–123, February 2006.

    Google Scholar 

  6. N. J. Nash, “Direct torque control induction motor vector control without an encoder,” IEEE Trans. Ind. Appl., vol. 3, pp. 333–341, 1997.

    Article  Google Scholar 

  7. C. Lascua and A. M. Trzynadlowski, “Combining the principles of sliding mode, direct torque control and space vector modulation,” Proc. of IAS02, pp. 2073–2079, 2002.

  8. Y. S. Lai and J. H. Chen, “A new approach to direct torque control of induction motor for constant inverter switching frequency and torque ripple reduction,” IEEE Trans. Energy Conver, vol. 10, no. 3, pp. 220–227, 2001.

    MathSciNet  Google Scholar 

  9. D. Swierczyn’ski and M. P. Kazmierkonwski, “Direct torque control of permanent magnet synchronous motor (PMSM) using space vector modulation (DTC-SVM) simulation and experimental results,” Proc. of IECON02, pp. 751–755, 2002.

  10. G. R. Arab Markadeh and J. Soltani, “Robust direct torque and flux control of adjustable speed sensor-less induction machine drive based on space vector modulation using a PI predictive controller,” Electrical Engineering, vol. 88, pp. 485–496, 2006.

    Article  Google Scholar 

  11. B. Akin, State Estimation Techniques for Speed Sensorless Field Oriented Control of Induction Motor, Ph.D. Thesis, Middle East Technical University, 2003.

  12. J. Golten and A. Verwer, Control System Design and Simulation, McGraw-Hill, 1991.

  13. J. G. Ziegler and N. B. Nichols, “Optimum settings for automatic controllers,” Trans. ASME, vol. 65, pp. 433–444, 1942.

    Google Scholar 

  14. K. J. Astrom and T. Hagglund, “Automatic tuning of simple regulators with specifications on phase and amplitude margins,” Automatica, vol. 20, pp. 645–651, 1984.

    Article  MathSciNet  Google Scholar 

  15. F. J. Lim and C. Liaw, “Reference model selection and adaptive control for induction motor drives,” IEEE Trans. on Automatic Control, vol. 38, no. 10, pp. 1594–1600, 1993.

    Article  Google Scholar 

  16. Y. Wen and C. Soh, “A unified approach for the analysis and design of robust adaptive control systems,” Proc. of the 35th Conference on Decision and Control, Kobe, Japan, pp. 1922–1927, 1996.

  17. R. D. Lorenz and D. B. Lawson, “A simplified approach to continuous, on-line tuning of field oriented induction machines drives,” Proc. Conf. Rec. Annu. Meet. IEEE Ind. Appl. Soc, pp. 444–449, 1988.

  18. C. A. Winsor and R. J. Roy, “The applications of specific optimal control to the design of sensitized model following control systems,” IEEE Trans. on Automatic Control, vol. 15, no. 3, pp. 326–333, 1970.

    Article  Google Scholar 

  19. Y. D. Landau, Adaptive Control — The Model Reference Approach, Marcel Dekker, New York, 1979.

    MATH  Google Scholar 

  20. S. Bowes and J. Li, “New robust adaptive control algorithm for high-performance AC drives,” IEEE Trans. on Industrial Electronics, vol. 47, no. 2, pp. 325–336, 2000.

    Article  Google Scholar 

  21. D. Stoten and H. Benchoubene, “Empirical studies of an MRAC algorithm with minimum controller synthesis,” Int. J. Control, vol. 51, no. 4, pp. 823–849, 1990.

    Article  MATH  Google Scholar 

  22. D. P. Stoten and H. Benchoubene, “Robustness of a minimum controller synthesis,” Int. J. Control, vol. 51, no. 4, pp. 851–861, 1990.

    Article  MATH  Google Scholar 

  23. F. Naceri and S. Belkacem, “A new robust approach to MCS algorithms, application to an AC machine,” Archives of Electrical Engineering, vol. 55, no. 2, pp. 163–178, 2006.

    Google Scholar 

  24. F. Naceri and L. Abida, “A novel robust adaptive control algorithm for AC drives,” Computers and Electrical Engineering, vol. 29, no. 4, pp. 523–534, 2003.

    Article  MATH  Google Scholar 

  25. M. H. Toodeshki, S. Hosseinnia, and J. Askari, “Adaptive robust control of uncertain systems with state and input delay,” International Journal of Control, Automation, and Systems, vol. 8, no. 6, pp.1212–1220, 2010.

    Article  Google Scholar 

  26. S. Maiti, C. Chakraborty, and S. Sengupta, “Simulation studies on model reference adaptive controller based speed estimation technique for the vector controlled permanent magnet synchronous motor drive,” Simulation Modeling Practice and Theory, vol. 17, no. 4, pp. 585–595, 2008.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sebti Belkacem.

Additional information

Recommended by Editor Young Il Lee.

Sebti Belkacem received his Master Degree in Electrical Engineering from Batna University in 2005. He is currently working toward a Ph.D. degree. He is a member in the Electrical Engineering Laboratory (LEB). His research interests, adaptive control, nonlinear control, and direct torque control.

Farid Naceri was born in Algeria. He received his B.S. and M.S. degrees in electrical engineering from the University of Batna, and his Ph.D. degree in 2000. He is a Professor at the Department of Electrical Engineering, University of Batna. His current research interests are, control of AC machines, adaptive and optimal control, power electronics and identification.

Rachid Abdessemed was born in Batna, Algeria in 1951. He received his M.Sc. and Ph.D. degrees in Electrical Engineering from Kiev Polytechnic Institute, Kiev, Ukraine in 1978 and 1982, respectively. He has been working for more than 28 years with the Department of Electrical Engineering, University of Batna, as a Professor. Currently, he is the director of the Electrical Engineering Laboratory (LEB). His current area of research includes design and control of doubly feed induction machines, reliability, magnetic bearing, adaptive control, and renewable energy.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Belkacem, S., Naceri, F. & Abdessemed, R. Improvement in DTC-SVM of AC drives using a new robust adaptive control algorithm. Int. J. Control Autom. Syst. 9, 267–275 (2011). https://doi.org/10.1007/s12555-011-0208-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-011-0208-1

Keywords

Navigation