Research Article Open Access

Adaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System

V.M. Varatharaju1, Badrilal Mathur2 and Udhayakumar 2
  • 1 , Afganistan
  • 2 ,
American Journal of Applied Sciences
Volume 8 No. 8, 2011, 810-815

DOI: https://doi.org/10.3844/ajassp.2011.810.815

Submitted On: 17 March 2011 Published On: 19 July 2011

How to Cite: Varatharaju, V., Mathur, B. & Udhayakumar, (2011). Adaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System. American Journal of Applied Sciences, 8(8), 810-815. https://doi.org/10.3844/ajassp.2011.810.815

Abstract

Problem statement: The tuning methodology for the parameters of adaptive speed controller causes a transient deviation of the response from the set reference following variation in load torque in a permanent-magnet brushless DC (BLDC) motor drive system. Approach: This study develops a mathematical model of the BLDC drive system, firstly. Secondly, discusses a design of the closed loop drive system employing the Adaptive-Network-based Fuzzy Interference System (ANFIS). The nonlinear simulation model of the BLDC motors drive system with ANFIS control based is simulated in the MATLAB/SIMULINK platform. Results: The necessitated data for training the ANFIS control is generated by simulation of the system with conventional PI controller. Conclusion: The simulated electromagnetic torque and rotor speed signify the superiority of the proposed technique over the classical method.

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Keywords

  • Adaptive control
  • PMBLDC motor
  • speed control
  • ANFIS