Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite

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Main Authors:	Nagarajan, Ragunathan, Paulraj, Murugesa Pandiyan, Assoc. Prof., Sazali, Yaacob, Prof. Dr., Zuraidah, Mohd Zain, Prof. Dr., Hoh, W. S. K., Arshad, A. S.
Format:	Working Paper
Language:	English
Published:	Institute of Electrical and Elctronics Engineering (IEEE) 2010
Subjects:	Adaptive gain Attitude motions Control torque External disturbances Mamdani fuzzy logic controllers Micro satellite Model reference International Colloquium on Signal Processing and Its Applications (CSPA)
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/8813
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Institution:	Universiti Malaysia Perlis
Language:	English

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spelling	my.unimap-88132010-08-18T03:36:05Z Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite Nagarajan, Ragunathan Paulraj, Murugesa Pandiyan, Assoc. Prof. Sazali, Yaacob, Prof. Dr. Zuraidah, Mohd Zain, Prof. Dr. Hoh, W. S. K. Arshad, A. S. Adaptive gain Attitude motions Control torque External disturbances Mamdani fuzzy logic controllers Micro satellite Model reference International Colloquium on Signal Processing and Its Applications (CSPA) Link to publisher's homepage at http://ieeexplore.ieee.org/ Attitude control system is designed to change the attitude of a satellite, able to meet pointing requirement, eliminating external disturbances, a low-cost controller as well as a high reliability control system which can be applied and embedded to a real time application. An adaptive predictive Mamdani fuzzy logic controller (FLC) is introduced in this paper. A predictive control is needed to estimate required control torque at the next sampling time since the satellite system is having time delays. The adaptive portion is using a model reference and the response of the satellite is compared to minimize the output error by adapting the adaptive gain to the controller torque. Y-Thompson regulating control is adapted to the satellite system as the reference input throughout the simulation. The design schemes of modeling adaptive and predictive FLC are described as follow: Basic FLC, Predictive FLC and Adaptive and Predictive FLC (APFLC). The simulation results show that the attitude motion can be controlled with adaptive and predictive FLC even in the presence of noise, disturbance and nonlinearity. 2010-08-18T03:36:05Z 2010-08-18T03:36:05Z 2009-03-06 Working Paper p.23-28 978-1-4244-4150-1 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5069180&tag=1 http://hdl.handle.net/123456789/8813 en Proceedings of the 5th International Colloquium on Signal Processing and Its Applications (CSPA) 2009 Institute of Electrical and Elctronics Engineering (IEEE)
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 gain Attitude motions Control torque External disturbances Mamdani fuzzy logic controllers Micro satellite Model reference International Colloquium on Signal Processing and Its Applications (CSPA)
spellingShingle	Adaptive gain Attitude motions Control torque External disturbances Mamdani fuzzy logic controllers Micro satellite Model reference International Colloquium on Signal Processing and Its Applications (CSPA) Nagarajan, Ragunathan Paulraj, Murugesa Pandiyan, Assoc. Prof. Sazali, Yaacob, Prof. Dr. Zuraidah, Mohd Zain, Prof. Dr. Hoh, W. S. K. Arshad, A. S. Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
description	Link to publisher's homepage at http://ieeexplore.ieee.org/
format	Working Paper
author	Nagarajan, Ragunathan Paulraj, Murugesa Pandiyan, Assoc. Prof. Sazali, Yaacob, Prof. Dr. Zuraidah, Mohd Zain, Prof. Dr. Hoh, W. S. K. Arshad, A. S.
author_facet	Nagarajan, Ragunathan Paulraj, Murugesa Pandiyan, Assoc. Prof. Sazali, Yaacob, Prof. Dr. Zuraidah, Mohd Zain, Prof. Dr. Hoh, W. S. K. Arshad, A. S.
author_sort	Nagarajan, Ragunathan
title	Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
title_short	Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
title_full	Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
title_fullStr	Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
title_full_unstemmed	Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
title_sort	y-thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite
publisher	Institute of Electrical and Elctronics Engineering (IEEE)
publishDate	2010
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/8813
_version_	1643789252152000512

Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite

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