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Internal model control for InnoSAT attitude control

Proceeding of The International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011) at Kuantan, Malaysia on 21 June 2011 through 22 June 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp.

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Bibliographic Details
Main Authors: M. N, Norhayati, Mohd Yusoff, Mashor, Prof. Dr., Siti Maryam, Sharun, Azian Azamimi, Abdullah, Wan Nur Hadani
Other Authors: azamimi@unimap.edu.my
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Back-propagation algorithm
Internal model control
Neural network
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35456
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spelling my.unimap-354562014-06-13T02:04:32Z Internal model control for InnoSAT attitude control M. N, Norhayati Mohd Yusoff, Mashor, Prof. Dr. Siti Maryam, Sharun Azian Azamimi, Abdullah Wan Nur Hadani azamimi@unimap.edu.my hadani@unimap.edu.my siti_mrym@ymail.com yusoff@unimap.edu.my Back-propagation algorithm Internal model control Neural network Proceeding of The International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011) at Kuantan, Malaysia on 21 June 2011 through 22 June 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp. This paper presents the results of Internal Model Control (IMC) for InnoSAT attitude control based on Neural Network (NN). IMC is composed of an inverse model connected in series with the plant and a forward model connected in parallel with the plant. The controller is achieved by estimating the plant and then finding its inverse model of the InnoSAT plant using the NN. The control signal error is used by Back-Propagation (BP) algorithm to update the weight of the neural controller. This controller has been tested using Innovative Satellite (InnoSAT) plant. Simulation results show that the controller is adequate to control the InnoSAT system with unpredicted conditions and disturbances. 2014-06-13T02:04:32Z 2014-06-13T02:04:32Z 2011 Working Paper p. 451-456 978-161284228-8 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5953924&tag=1 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35456 10.1109/INECCE.2011.5953924 en Proceeding of the International Conference on Electrical, Control and Computer Engineering (InECCE 2011); IEEE Conference Publications
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 Back-propagation algorithm
Internal model control
Neural network
spellingShingle Back-propagation algorithm
Internal model control
Neural network
M. N, Norhayati
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
Wan Nur Hadani
Internal model control for InnoSAT attitude control
description Proceeding of The International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011) at Kuantan, Malaysia on 21 June 2011 through 22 June 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp.
author2 azamimi@unimap.edu.my
author_facet azamimi@unimap.edu.my
M. N, Norhayati
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
Wan Nur Hadani
format Working Paper
author M. N, Norhayati
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
Wan Nur Hadani
author_sort M. N, Norhayati
title Internal model control for InnoSAT attitude control
title_short Internal model control for InnoSAT attitude control
title_full Internal model control for InnoSAT attitude control
title_fullStr Internal model control for InnoSAT attitude control
title_full_unstemmed Internal model control for InnoSAT attitude control
title_sort internal model control for innosat attitude control
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35456
_version_ 1643797804285427712
score 13.214268

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