A neuro-fuzzy controller designed for sensorless speed control of DC motor is presented in
this paper. Artificial Neural network is used to solve the problem of tuning a fuzzy logic …

This paper presents simulation of speed control of Separately Excited DC Motor (SEDM)
using Neuro-Fuzzy Controller. The Controller is based on Adaptive Neuro Fuzzy Inference …

This paper presents the speed control of a separately excited dc motor using Neuro-Fuzzy
controller. The controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) …

In this paper a novel sensorless adaptive neurofuzzy speed controller for induction motor
derives is formulated. An artificial neural network (ANN) is adopted to estimate the motor …

This paper propose a genetic based fuzzy logic controller to regulate the speed of
separately excited DC motor. The fuzzy membership function and rules are optimized based …

This paper present a comparative study of speed control DC motor by using two different
artificial intelligent controllers which are fuzzy logic controller (FLC) and artificial neural …

Conventional controllers are generally used to control the speed of the separately excited
DC motors in various industrial applications. It is found to be simple and high effective if the …

This paper presents a neuro-fuzzy controller design for speed control of DC motor. The most
commonly used controller for the speed control of dc motor is the conventional Proportional …

Despite of the development of various types of electric motors, DC motors are still used in
many industrial applications as this type of motors can easily be controlled and it has the …

A novel method for speed control of brushless dc motor using adaptive fuzzy logic and PI
control algorithms has been presented in this paper. Fuzzy logic and PI controllers are …