Fuzzy logic enhanced robust torque controlled induction motor drive system

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Fuzzy logic enhanced robust torque controlled induction motor drive system

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A closed-loop torque controlled induction motor drive system is presented which can function as a controllable source of torque with a fast dynamic response and thus it can achieve an adequate control performance. The proposed drive system includes an accurate and robust flux and torque estimator and a direct fuzzy controller to enhance the torque regulation. The proposed flux and torque estimators keep the machine field oriented and can overcome any problem created by changes in the transformation and torque ripples. The fuzzy controller can achieve an adequate control performance with a high bandwidth torque control. Simulation and experimental results are presented to show the effectiveness of the proposed drive system.

Inspec keywords: torque control; closed loop systems; machine control; fuzzy control; robust control; dynamic response; induction motor drives

Other keywords: dynamic response; induction motor drive system; closed-loop system; torque control; fuzzy control; robust control; fuzzy logic

Subjects: Mechanical variables control; Stability in control theory; Control system analysis and synthesis methods; Drives; Asynchronous machines; Control of electric power systems; Fuzzy control

References

    1. 1)
      • A. Benchaib , A. Rachid , E. Auderzet . Sliding mode input-output linearization and field orientation for real-time control of induction motors. IEEE Trans. Ind. Electron. , 1 , 3 - 13
    2. 2)
      • Xu, X., De Doncker, R., Novotny, D.W.: `A stator flux oriented induction machine drive', Proc. IEEE PESC Conf., April 1988, 2, p. 870–876.
    3. 3)
      • R. Ordóñez , J. Zumberge , J.T. Spooner , K.M. Passino . Adaptive fuzzy control: experiments and comparative analysis. IEEE Trans. on Fuzzy Syst. , 2 , 167 - 188
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • G. Guidi , H. Umida . A novel stator resistance estimation method for speed-sensorless induction motor drives. IEEE Trans. Ind. Appl. , 6 , 1619 - 1627
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
      • Parasiliti, F., Petrella, R., Tursini, M.: `Adaptive sliding mode observer for speed sensorless control of induction motors', Proc. IEEE-IAS Annual Meeting, 1999, p. 2277–2283.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
      • J.R. Layne , K.M. Passino . Fuzzy model reference learning control. J. Intell. Fuzzy Syst. , 1 , 33 - 47
    22. 22)
      • H. Rehman . Design of voltage model flux observer. IEE Proc. Electr. Power Appl. , 2 , 129 - 134
    23. 23)
    24. 24)
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