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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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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
score 13.18916

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