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An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor

by Basma A. Omar, Amira Y. Haikal, Fayz F. Areed
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 9
Year of Publication: 2012
Authors: Basma A. Omar, Amira Y. Haikal, Fayz F. Areed
10.5120/4851-7123

Basma A. Omar, Amira Y. Haikal, Fayz F. Areed . An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor. International Journal of Computer Applications. 39, 9 ( February 2012), 29-37. DOI=10.5120/4851-7123

@article{ 10.5120/4851-7123,
author = { Basma A. Omar, Amira Y. Haikal, Fayz F. Areed },
title = { An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 9 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number9/4851-7123/ },
doi = { 10.5120/4851-7123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:02.084233+05:30
%A Basma A. Omar
%A Amira Y. Haikal
%A Fayz F. Areed
%T An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 9
%P 29-37
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper an Adaptive Neuro Fuzzy Inference System (ANFIS) controller using error and derivative of error inputs is proposed for the speed control of a separately excited dc motor (SEDCM) using chopper circuit. This paper investigates the design and simulation of an adaptive Neuro-Fuzzy Inference System (ANFIS) controller for the speed of a DC motor. The performance of the proposed system has been compared with conventional one, where the conventional PI controller ( speed controller ) in the Chopper-Fed DC Motor Drive is replaced by the adaptive Neuro-Fuzzy controller to improve the dynamic behavior of the model. Computer Simulation is conducted to demonstrate the performance of the proposed controller and results show that the proposed design succeeded over the conventional PI controller where it enhances dynamic responses and reduce ripples. Moreover, results of comparing the proposed ANFIS controller with other related work is improved. The entire system is modeled using MATLAB 2009 toolbox.

References
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Index Terms

Computer Science
Information Sciences

Keywords

adaptive neuro-fuzzy inference Chopper Circuit SEDCM Speed control

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