Abstract In this paper, Online Fuzzy Logic Supervised Learning of Radial Basis Function
Neural Network (RBFNN) based speed controller for Brushless DC (BLDC) motor is …

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, intelligent PID neural network (IPIDNN) controller based on a recurrent radial
basis function neural network (RRBFNN) for brushless dc motor (BLDCM) speed control is …

Brushless Direct Current (BLDC) motor speed control has been widely developed to obtain
high performance in its operation. However, most of the controllers still used conventional …

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 …

Brushless DC motor (BLDCM) has been widely used in industries because of its
advantages. BLDCM control system is a nonlinear, multi-variable, strong-coupling system. It …

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 …

This paper presents a control scheme combined with neural network, fuzzy controller and PI-
controller for the brushless DC motor. The neural network control learned continuously and …

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 …

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 …