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, 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 …

Abstract In this paper, Fuzzy-Neural control architecture is applied in order to construct
precise speed control of brushless DC motor (BLDC) in high performance applications …

This paper presents a Hybrid Adaptive Neuro Fuzzy Control technique for speed control of
BLDC motor drives. The proposed controller is an integration of adaptive neuro fuzzy, Fuzzy …

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 …

Inherently, the brushless DC motor (BLDCM) is a nonlinear plant. So, it is hard to get a good
performance by using the conventional PI controller for the speed control of BLDCM. In this …

Brushless DC (BLDC) motors have been widely used in many field of drives for their high
power/weight, high torque, high efficiency, long operating life, noiseless operation, high …

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a
miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference …

Direct current (DC) motors are one of the most important kind of motors and are widely used
in robotic and industrial applications. Recently, there have been significant efforts to develop …

In this paper, aProportional-Derivative and Integral (PD-I) type Fuzzy-Neural Network
Controller (FNNC) based on Sugeno fuzzy model is proposed for brushless DC drives to …