In this paper, a novel controller for brushless DC (BLDC) motor has been presented. The
proposed controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and the …

In this paper, speed control of Brushless DC motor using Bat algorithm optimized online
Adaptive Neuro-Fuzzy Inference System is presented. Learning parameters of the online …

In this paper, a hybrid neuro-fuzzy controller (NFC) is presented for the speed control of
brushless DC motors to improve the control performance of the drive under transient and …

In this paper, two different speed controllers ie, fuzzy online gain tuned anti wind up
Proportional Integral and Derivative (PID) controller and fuzzy PID supervised online ANFIS …

In this paper, Antlion algorithm optimized Fuzzy PID supervised on-line Recurrent Fuzzy
Neural Network based controller is proposed for the speed control of Brushless DC motor …

In this paper, stability and performance analysis of Adaptive Neuro-Fuzzy Inference System
(ANFIS) tuned Proportional Integral Derivative (PID) speed controller has been presented for …

The primary aim of this paper is to control the speed of brushless DC motor using Artificial
Neural Network (ANN) controller and PID controller. Detailed analysis is performed based …

In this study, fuzzy supervised online coactive neuro‐fuzzy inference system (CANFIS)‐
based rotor position controller is presented for brushless DC (BLDC) motor. An online …

The paper presents a performance review of Fuzzy Logic Control technique when applied to
Brushless DC motor (BLDC). These type of motors are non-linear in nature therefore …

Aiming at the problems of the poor adaptive ability in the current control methods for
brushless DC motor, an adaptive fuzzy proportional integral derivative controller (AFPID) is …