Modifying the Structure of a Fuzzy Controller to Improve Speed Estimation Response in Rotor-Flux MRAS DTC Drive

Authors(1) :-Yashar Farajpour

Direct Torque Control (DTC) technique provides a multidimensional control over the target system. From the capability to employ various speed controllers and constant monitoring of the motor state to the minimization of inrush current and voltage sag on the power network side, DTC dictates its excellence evidently. Wide range of functionality along with the fast and precise torque and speed responses have made this system one of the best choices for the control of an induction motor. However, DTC drive’s inherent need for a rotor speed sensor brings some drawbacks. This paper studies design, calculation, and the performance of a novel Fuzzy scheme implemented in a Model Reference Adaptive System (MRAS) for sensorless speed observation. In order to evaluate the effectiveness of the proposed technique, its results are contrasted with the conventional scheme of a PI controlled MRAS DTC. The operation of a 5hp induction motor is analyzed on MATLAB Simulink platform for various scenarios of abrupt speed demand and load torque changes. Although both MRAS mechanisms demonstrate satisfactory performance in steady state conditions, the Fuzzy based system offers considerably more accurate and reliable responses even for transient states with minimized estimation error and higher signal precision.

Authors and Affiliations

Yashar Farajpour
Electrical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran

Direct Torque Control (DTC), Fuzzy logic controller, Motor drives, Model Reference Adaptive System (MRAS), Fuzzy MRAS.

  1. P. Vas, Sensorless vector and direct torque control. Oxford University Press, 1998.
  2. Y. Cho, Y. Bak, and K.-B. Lee, "Torque-Ripple Reduction and Fast Torque Response Strategy for Predictive Torque Control of Induction Motors,"IEEE Trans. Power Electron., vol. 33, no. 3, pp. 2458–2470, Mar. 2018.
  3. I. Takahashi and T. Noguchi, "A New Quick-Response and High-Efficiency Control Strategy of an Induction Motor,"IEEE Trans. Ind. Appl., vol. IA-22, no. 5, pp. 820–827, Sep. 1986.
  4. I. Takahashi and T. Noguchi, "Quick Torque Response Control of an Induction Motor Based on a New Concept,"IEEJ, pp. 61–70, 1984.
  5. Y. Tatte, M. V. Aware, J. K. Pandit, and R. Nemade, "Performance Improvement of Three-Level Five-Phase Inverter Fed DTC Controlled Five-Phase Induction Motor during Low-Speed Operation,"IEEE Trans. Ind. Appl., pp. 1–1, 2018.
  6. S. Payami and R. K. Behera, "An Improved DTC Technique for Low-Speed Operation of a Five-Phase Induction Motor,"IEEE Trans. Ind. Electron., vol. 64, no. 5, pp. 3513–3523, May 2017.
  7. M. Rashed and A. F. Stronach, "A stable back-EMF MRAS-based sensorless low-speed induction motor drive insensitive to stator resistance variation,"IEE Proc. - Electr. Power Appl., vol. 151, no. 6, p. 685, 2004.
  8. A. Shinohara, Y. Inoue, S. Morimoto, and M. Sanada, "Asymptotic MTPF control for high-speed operations in direct torque controlled IPMSM drives,"in 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 2017, pp. 816–821.
  9. B. L. G. Costa, C. L. Graciola, B. A. Angélico, A. Goedtel, and M. F. Castoldi, "Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for three-phase induction motors,"Appl. Soft Comput., vol. 62, pp. 776–788, Jan. 2018.
  10. X. Mei, X. Lu, A. Davari, E. A. Jarchlo, F. Wang, and R. Kennel, "Torque disturbance observer based model predictive control for electric drives,"in 2018 9th Annual Power Electronics, Drives Systems and Technologies Conference (PEDSTC), 2018, pp. 499–504.
  11. S. Karpe, S. A. Deokar, and A. M. Dixit, "Switching losses minimization by using direct torque control of induction motor,"J. Electr. Syst. Inf. Technol., vol. 4, no. 1, pp. 225–242, May 2017.
  12. C. Xiong, H. Xu, C. Fang, and H. Zhang, "Direct torque control of permanent-magnet synchronous machine drives with reduced torque ripple and strong robustness,"in 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), 2017, pp. 1–6.
  13. T. Yuan et al., "Duty Ratio Modulation Strategy to Minimize Torque and Flux Linkage Ripples in IPMSM DTC Systems,"IEEE Access, vol. 5, pp. 14323–14332, 2017.
  14. T. Ramesh, A. Kumar Panda, and S. Shiva Kumar, "Type-2 fuzzy logic control based MRAS speed estimator for speed sensorless direct torque and flux control of an induction motor drive,"ISA Trans., vol. 57, pp. 262–275, Jul. 2015.
  15. M. Depenbrock, "Direct self-control of the flux and rotary moment of a rotary-field machine,"US4678248 A, 1984.
  16. M. Depenbrock, "Method and Device for Controlling of a Rotating Field Machine,"DE3438504 (A1), 1986.
  17. C. Lascu, I. Boldea, and F. Blaabjerg, "A modified direct torque control for induction motor sensorless drive,"IEEE Trans. Ind. Appl., vol. 36, no. 1, pp. 122–130, 2000.
  18. H. Li, A. Monti, and F. Ponci, "A Fuzzy-Based Sensor Validation Strategy for AC Motor Drives,"IEEE Trans. Ind. Informatics, vol. 8, no. 4, pp. 839–848, Nov. 2012.
  19. J. Holtz, "Sensorless Control of Induction Machines—With or Without Signal Injection,"IEEE Trans. Ind. Electron., vol. 53, no. 1, pp. 7–30, Feb. 2006.
  20. J. Faiz, M. B. B. Sharifian, A. Keyhani, and A. B. Proca, "Sensorless direct torque control of induction motors used in electric vehicle,"IEEE Trans. Energy Convers., vol. 18, no. 1, pp. 1–10, Mar. 2003.
  21. S. M. M. Gazafroodi and A. Dashti, "A Novel MRAS Based Estimator for Speed-Sensorless Induction Motor Drive,"Iran. J. Electr. Electron. Eng., vol. 10, no. 4, pp. 304–313, 2014.
  22. S. M. Gadoue, D. Giaouris, and J. W. Finch, "MRAS Sensorless Vector Control of an Induction Motor Using New Sliding-Mode and Fuzzy-Logic Adaptation Mechanisms,"IEEE Trans. Energy Convers., vol. 25, no. 2, pp. 394–402, Jun. 2010.
  23. M. F. Iacchetti, M. S. Carmeli, F. Castelli Dezza, and R. Perini, "A speed sensorless control based on a MRAS applied to a double fed induction machine drive,"Electr. Eng., vol. 91, no. 6, pp. 337–345, Jan. 2010.
  24. C.-L. Chen and C.-M. Lee, "Observer-based speed estimation method for sensorless vector control of induction motors,"IEE Proc. - Control Theory Appl., vol. 145, no. 3, pp. 359–363, May 1998.
  25. Y.-C. Luo and W.-X. Chen, "Sensorless stator field orientation controlled induction motor drive with a fuzzy speed controller,"Comput. Math. with Appl., vol. 64, no. 5, pp. 1206–1216, Sep. 2012.
  26. J. Maes and J. A. Melkebeek, "Speed-sensorless direct torque control of induction motors using an adaptive flux observer,"IEEE Trans. Ind. Appl., vol. 36, no. 3, pp. 778–785, 2000.
  27. A. Yousefi-Talouki, P. Pescetto, G. Pellegrino, and I. Boldea, "Combined Active Flux and High-Frequency Injection Methods for Sensorless Direct-Flux Vector Control of Synchronous Reluctance Machines,"IEEE Trans. Power Electron., vol. 33, no. 3, pp. 2447–2457, Mar. 2018.
  28. A. Mastanaiah and T. Ramesh, "Rotor-flux based MRAS speed estimator for direct torque and flux control of an induction motor drive,"in 2015 IEEE Students Conference on Engineering and Systems (SCES), 2015, pp. 1–6.
  29. H. Madadi Kojabadi, "Active power and MRAS based rotor resistance identification of an IM drive,"Simul. Model. Pract. Theory, vol. 17, no. 2, pp. 376–389, Feb. 2009.
  30. S. Maiti, C. Chakraborty, Y. Hori, and M. C. Ta, "Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power,"IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 594–601, 2008.
  31. L. A. Zadeh, "Fuzzy sets,"Inf. Control, vol. 8, no. 3, pp. 338–353, Jun. 1965.
  32. L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning—I,"Inf. Sci. (Ny)., vol. 8, no. 3, pp. 199–249, Jan. 1975.
  33. W. C. Duesterhoeft, M. W. Schulz, and E. Clarke, "Determination of Instantaneous Currents and Voltages by Means of Alpha, Beta, and Zero Components,"Trans. Am. Inst. Electr. Eng., vol. 70, no. 2, pp. 1248–1255, Jul. 1951.
  34. S. K. Pillai, Analysis Of Thyristor Power-Conditioned Motors. Universities Press (India) Pvt. Limited, 1993.
  35. B. M. Wilamowski and J. D. Irwin, Power Electronics and Motor Drives, Illustrate. CRC Press, 2016.
  36. M. A. Perales, M. M. Prats, R. Portillo, J. L. Mora, J. I. Leon, and L. G. Franquelo, "Three-dimensional space vector modulation in abc coordinates for four-leg voltage source converters,"IEEE Power Electron. Lett., vol. 1, no. 4, pp. 104–109, Dec. 2003.
  37. R. Zhang, V. H. Prasad, D. Boroyevich, and F. C. Lee, "Three-dimensional space vector modulation for four-leg voltage-source converters,"IEEE Trans. Power Electron., vol. 17, no. 3, pp. 314–326, May 2002.
  38. N. Bounar, A. Boulkroune, F. Boudjema, M. M?Saad, and M. Farza, "Adaptive fuzzy vector control for a doubly-fed induction motor,"Neurocomputing, vol. 151, pp. 756–769, Mar. 2015.
  39. N. Bounar, A. Boulkroune, and F. Boudjema, "Adaptive Fuzzy Control of Doubly-Fed Induction Machine,"Control Eng. Appl. Informatics, vol. 16, pp. 98–110, 2014.

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 248-258
Manuscript Number : IJSRSET184957
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Yashar Farajpour, " Modifying the Structure of a Fuzzy Controller to Improve Speed Estimation Response in Rotor-Flux MRAS DTC Drive, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.248-258, July-August-2018. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET184957

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