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
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id	my-uitm-ir.77961
record_format	uketd_dc
spelling	my-uitm-ir.779612023-07-26T00:33:50Z Artificial intelligent speed controller using RBF method for separately excited dc motor / Azrin Kamaruddin 2003 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 https://ir.uitm.edu.my/id/eprint/77961/ https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abd. Hadi, Razali
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd. Hadi, Razali
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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/77961/1/77961.pdf
_version_	1783736188382740480

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

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