@article {10.3844/ajassp.2011.810.815,
article_type = {journal},
title = {Adaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference System},
author = {Varatharaju, V.M. and Mathur, Badrilal and Udhayakumar,},
volume = {8},
year = {2011},
month = {Jul},
pages = {810-815},
doi = {10.3844/ajassp.2011.810.815},
url = {https://thescipub.com/abstract/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.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}