Adaptive Neuro-Controller for three axes attitude control of innovative satellite

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Main Authors: Siti Maryam Sharun, Mohd Yusof Mashor, Prof. Dr., M. N. Norhayati, W. N. Hadani, Sazali Yaacob, Prof. Dr.
Other Authors: siti_mrym@ymail.com
Format: Article
Language:English
Published: Science Academy 2011
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/11619
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-116192011-04-20T09:04:56Z Adaptive Neuro-Controller for three axes attitude control of innovative satellite Siti Maryam Sharun Mohd Yusof Mashor, Prof. Dr. M. N. Norhayati W. N. Hadani Sazali Yaacob, Prof. Dr. siti_mrym@ymail.com yusoff@unimap.edu.my yatie_yasin@yahoo.com hadani@unimap.edu.my sazali22@yahoo.com Adaptive Neuro-Controller (ANC) Satellite Innovative Satellite (InnoSAT) Link to publisher's homepage at www.sciacademypublisher.com There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This paper describes the development of a nano-satellite Attitude Control System (ACS) which uses Adaptive Neuro-Controller (ANC) based on Hybrid Multi Layered Perceptron (HMLP) network. The objective of this paper is to analyze the time response of ANC in order to improve the efficiency of the three-axes attitude stabilization. The nano-satellite plant that was used in this simulation is called Innovative Satellite (InnoSAT). The performance of ANC controller was compared with Adaptive Parametric Black Box (APBB). Both controllers used Model Reference Adaptive Control (MRAC) as a control scheme and Weighted Recursive Least Square (WRLS) as an adjustment algorithm. The function of this algorithm is to adjust the controller parameters to minimize the error between the plant’s output and the model reference’s output. The simulation results indicated that ANC controller has significant improvement over APBB controller for varying operating conditions such as varying gain, noise and disturbance torques. 2011-04-20T09:00:39Z 2011-04-20T09:00:39Z 2011-03 Article Research and Reviews in Artificial Intelligence, vol.1(1), 2011, pages 1-6 2046-5122 http://sciacademypublisher.com/journals/index.php/IJRRAI/article/view/45/38 http://hdl.handle.net/123456789/11619 en Science Academy
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 (ANC)
Satellite
Innovative Satellite (InnoSAT)
spellingShingle Adaptive Neuro-Controller (ANC)
Satellite
Innovative Satellite (InnoSAT)
Siti Maryam Sharun
Mohd Yusof Mashor, Prof. Dr.
M. N. Norhayati
W. N. Hadani
Sazali Yaacob, Prof. Dr.
Adaptive Neuro-Controller for three axes attitude control of innovative satellite
description Link to publisher's homepage at www.sciacademypublisher.com
author2 siti_mrym@ymail.com
author_facet siti_mrym@ymail.com
Siti Maryam Sharun
Mohd Yusof Mashor, Prof. Dr.
M. N. Norhayati
W. N. Hadani
Sazali Yaacob, Prof. Dr.
format Article
author Siti Maryam Sharun
Mohd Yusof Mashor, Prof. Dr.
M. N. Norhayati
W. N. Hadani
Sazali Yaacob, Prof. Dr.
author_sort Siti Maryam Sharun
title Adaptive Neuro-Controller for three axes attitude control of innovative satellite
title_short Adaptive Neuro-Controller for three axes attitude control of innovative satellite
title_full Adaptive Neuro-Controller for three axes attitude control of innovative satellite
title_fullStr Adaptive Neuro-Controller for three axes attitude control of innovative satellite
title_full_unstemmed Adaptive Neuro-Controller for three axes attitude control of innovative satellite
title_sort adaptive neuro-controller for three axes attitude control of innovative satellite
publisher Science Academy
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/11619
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