Performance Analysis of BLDC by using Fuzzy Logic Controller to Control Indirect Flux and Torque

Performance Analysis of BLDC by using Fuzzy Logic Controller to Control Indirect Flux and Torque

AUTHOR

  • M.Muthuvel1, G.Udhayakumar2
  • SUBMITTED

  • 2021
  • PUBLISHED MONTH

  • March-April
  • ARTICLE TYPE

  • Review
  • DOWNLOAD

    Technical Paper Publishing Sites , Journals for Publication of Research Paper , Best Journal to Publish Research Paper , Research Paper Publication Sites , Best International Journal for Paper Publication , Best Journals to Publish Papers in India , Journal Publication Sites , Research Paper Publication Sites

    STATICS

    ABSTRACT


    In the present scenario, utilization of BLDC drives are
    increasing rapidly, as a result of more efficiency, more power density,
    normal to control and great inertia torque ratio. This rag proposes a
    concept of sensor less
    control of drive using Fuzzy based DTC system. An indirect flux control
    proposed in this rag is similar to the direct
    torque controller for controlling of BLDC motor by the reference signals
    from the direct axis currents. A fuzzy regulator also proposed in this rag
    for better controlling of brushless DC drive. Simulink/Matlab is used to
    test the proposed DTC-Fuzzy based BLDC drive.
    Keywords: BLDC Motor, Fuzzy Controller, DTC technique and PWM
    controller
    References
    [1] Salih Baris Ozturk, Member, IEEE, and Hamid A. Toliyat, Fellow, “Direct Torque and Indirect Flux Control of Brushless DC Motor” in
    IEEE/ASME TRANSACTIONS ON MECHATRONICS, VOL. 16, NO. 2, APRIL 2011
    [2] Atef Saleh Othman Al-Mashak- beh “Proportional Integral and Derivative Control of Brushless DC Motor” European Journal of Scientific
    esearchVol.35 No.2 (2009), pp.198- 203
    [3] Microchip Technology, “Brushless DC (BLDC) motor fundamentals”, application Note, AN885, 2003.
    [4] Gwo-Rueyyu and Rey-Chue Hwang “Optimal PID Speed Control of Brushless DC Motors Using LQR approach” IEEE International
    Conference on systems, Man and Cybernetics, 2004, pp.473-478.
    [5]C.Gencer and M.Gedikpinar “Modelling and Simulation of BLDCM using Mat lab/Simulink” Journal of Applied Sciences 6(3):688-691,
    2006.
    [6]Allan R. Hambley, “Electrical Engineering Principles and Application”, Prentice Hall, New Jersey 1997.
    [7]Rivera, D.E.skogestad, S.Morari M.IMC 4: PID controller design. Ind. Engchem. Processdes. Dev 1986, 25,252.
    [8] Gaddam Mallesham, AkulaRajani,”Automatic Tuning of PID Controller using Fuzzy Logic”, Internal Conference on Development and
    Application Systems, 2006, pp.120-127,
    [9] K.Ang, G.Chong, and Y. Li, “PID control system analysis, design, and technology,” IEEE
    Trans. Control System Technology, vol.13, pp 559-576, July 2005.
    [10] Bergh, L.G. MAC Gregory. J.F. constrained minimum variance- Internal model structure and robustness properties.IND. Eng chem.
    Res.1986, 26, 1558.
    [11] Chein, L-L Fruehauf, P.S consider IMC tuning to improve controller performance. Chem. Eng. Prog 1990, 86, 33.

    [12]N.Mohan, T.M.Undeland, and W.P.Robbins, Power Electronics Converters, Applications, and Design, New York: John Wiley & Sons, 1995.

    Performance Analysis of BLDC by using Fuzzy Logic Controller to Control Indirect Flux and Torque