Sharun, S.M. and Mashor, M.Y. and W. N., Hadani and M.N., Norhayati and Yaacob, S. (2011) Nano-satellite attitude control system based on adaptive neuro-controller. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia.

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Abstract

The current research focuses on designing of an intelligent controller for attitude control system (ACS) of nano-satellite. The nanosatellite namely Innovative Satellite (InnoSAT) was organized by Agensi Angkasa Negara (ANGKASA) to attract the interest of Malaysian universities in satellite development.In this study, an intelligent controller based on Hybrid Multi Layered Perceptron (HMLP) network was developed. The network used model reference adaptive control (MRAC) system as a control scheme to control a time varying systems where the performance specifications are given in terms of a reference model.The Weighted Recursive Least Square (WRLS) algorithm will adjust the controller parameters to minimize error between the plant output and the model reference output.The objective of this paper is to analyze the tracking performance of ANC based on HMLP network and ANC based on standard MLP network for controlling a satellite attitude. The simulation results indicate that ANC based on HMLP network gave better performance than ANC based on standard MLP network.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983-2078-49-4 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	Intelligent controller, Hybrid Multi Layered Perceptron, nanosatellite
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	07 Apr 2015 04:02
Last Modified:	07 Apr 2015 04:02
URI:	https://repo.uum.edu.my/id/eprint/13602

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