Implementation of Fuzzy Logic Controller For BLDC To Control Indirect Flux and Torque

Authors

  • Ananda Babu Kancherla
  • D.Ravi Kishore

DOI:

https://doi.org/10.46243/jst.2020.v5.i5.pp240-245

Keywords:

BLDC Motor, Fuzzy Controller, DTC technique and PWM controller

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 sensorless 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.

References

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

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

Microchip Technology, “Brushless DC (BLDC) motor fundamentals”, application Note, AN885, 2003

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

C.Gencer and M.Gedikpinar “Modelling and Simulation of BLDCM using Mat lab/Simulink” Journal of Applied Sciences 6(3):688-691

Allan R. Hambley, “Electrical Engineering Principles and Application”, Prentice Hall, New Jersey 1997

Rivera, D.E.skogestad, S.Morari M.IMC 4: PID controller design. Ind. Engchem. Processdes. Dev 1986, 25,252

Gaddam Mallesham, AkulaRajani,”Automatic Tuning of PID Controller using Fuzzy Logic”, Internal Conference on Development and

Application Systems, 2006, pp.120-127

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

Bergh, L.G. MAC Gregory. J.F. constrained minimum variance- Internal model structure and robustness properties.IND. Eng chem

Chein, L-L Fruehauf, P.S consider IMC tuning to improve controller performance. Chem. Eng. Prog 1990, 86, 33

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

Published

2024-05-03

How to Cite

Ananda Babu Kancherla, & D.Ravi Kishore. (2024). Implementation of Fuzzy Logic Controller For BLDC To Control Indirect Flux and Torque. Journal of Science & Technology , 5(5), 240–245. https://doi.org/10.46243/jst.2020.v5.i5.pp240-245