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Adaptive neuro-controller based on IMAC scheme for InnoSAT control

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malay...

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Main Authors: Norhayati, M. N., Mohd Yusoff, Mashor, Prof. Dr., Siti Maryam, Sharun, Azian Azamimi, Abdullah, Wan Nur Hadani
Other Authors: yati_yasin@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Adaptive neuro-controller
Internal model adaptive control
Multilayer perceptron network
Recursive least square algorithm
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/30426
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spelling my.unimap-304262013-12-11T08:40:46Z Adaptive neuro-controller based on IMAC scheme for InnoSAT control Norhayati, M. N. Mohd Yusoff, Mashor, Prof. Dr. Siti Maryam, Sharun Azian Azamimi, Abdullah Wan Nur Hadani yati_yasin@yahoo.com yusoff@unimap.edu.my Adaptive neuro-controller Internal model adaptive control Multilayer perceptron network Recursive least square algorithm The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. In this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude. Controller architecture, which is combination of IMAC with MLP network, has been outlined and its effectiveness is demonstrated on the InnoSAT system. The control signal error is used with Recursive Least Square (RLS) algorithm with forgetting factor to update the weight of the ANC. This controller has been tested using the InnoSAT system with several operating conditions. In conclusion, the ANC based on IMAC scheme is analyzed, and compared with the classical PID controller results. As can be seen from the simulation results, the ANC based on IMAC scheme is successfully implemented to control the InnoSAT attitude. 2013-12-11T08:40:46Z 2013-12-11T08:40:46Z 2012-06-18 Working Paper p. 275-284 978-967-5760-11-2 http://hdl.handle.net/123456789/30426 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Adaptive neuro-controller
Internal model adaptive control
Multilayer perceptron network
Recursive least square algorithm
spellingShingle Adaptive neuro-controller
Internal model adaptive control
Multilayer perceptron network
Recursive least square algorithm
Norhayati, M. N.
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
Wan Nur Hadani
Adaptive neuro-controller based on IMAC scheme for InnoSAT control
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 yati_yasin@yahoo.com
author_facet yati_yasin@yahoo.com
Norhayati, M. N.
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
Wan Nur Hadani
format Working Paper
author Norhayati, M. N.
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
Wan Nur Hadani
author_sort Norhayati, M. N.
title Adaptive neuro-controller based on IMAC scheme for InnoSAT control
title_short Adaptive neuro-controller based on IMAC scheme for InnoSAT control
title_full Adaptive neuro-controller based on IMAC scheme for InnoSAT control
title_fullStr Adaptive neuro-controller based on IMAC scheme for InnoSAT control
title_full_unstemmed Adaptive neuro-controller based on IMAC scheme for InnoSAT control
title_sort adaptive neuro-controller based on imac scheme for innosat control
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/30426
_version_ 1643795585327693824
score 13.214268

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