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Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin

This paper presents a Radial Basis Function Neural Network (RBFNN) approach to design a separately excited DC motor speed controller, which behaves similar to PI controller. The RBFNN is set up by writing a program to create a 'black box', which will then applied to MA TLAB-SIMULINK. A clo...

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Main Author: Kamaruddin, Azrin
Format: Thesis
Language:English
Published: 2003
Subjects:
Back propagation (Artificial intelligence)
Online Access:https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf
https://ir.uitm.edu.my/id/eprint/77961/
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id my.uitm.ir.77961
record_format eprints
spelling my.uitm.ir.779612023-07-26T00:33:50Z https://ir.uitm.edu.my/id/eprint/77961/ Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin Kamaruddin, Azrin Back propagation (Artificial intelligence) This paper presents a Radial Basis Function Neural Network (RBFNN) approach to design a separately excited DC motor speed controller, which behaves similar to PI controller. The RBFNN is set up by writing a program to create a 'black box', which will then applied to MA TLAB-SIMULINK. A closed-loop system is used for testing. From the results obtained it shows that RBFNN is an alternative controller to replace the PI controller. 2003 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin. (2003) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Back propagation (Artificial intelligence)
spellingShingle Back propagation (Artificial intelligence)
Kamaruddin, Azrin
Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin
description This paper presents a Radial Basis Function Neural Network (RBFNN) approach to design a separately excited DC motor speed controller, which behaves similar to PI controller. The RBFNN is set up by writing a program to create a 'black box', which will then applied to MA TLAB-SIMULINK. A closed-loop system is used for testing. From the results obtained it shows that RBFNN is an alternative controller to replace the PI controller.
format Thesis
author Kamaruddin, Azrin
author_facet Kamaruddin, Azrin
author_sort Kamaruddin, Azrin
title Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin
title_short Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin
title_full Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin
title_fullStr Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin
title_full_unstemmed Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin
title_sort artificial intelligent speed controller using rbf method for separately excited dc motor / azrin kamaruddin
publishDate 2003
url https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf
https://ir.uitm.edu.my/id/eprint/77961/
_version_ 1772815546243350528
score 13.154949

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