TY  - JOUR
AU  - Varatharaju, V.M. 
AU  - Mathur, Badrilal 
AU  - Udhayakumar, 
PY  - 2011
TI  - Adaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System
JF  - American Journal of Applied Sciences
VL  - 8
IS  - 8
DO  - 10.3844/ajassp.2011.810.815
UR  - https://thescipub.com/abstract/ajassp.2011.810.815
AB  - 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.