Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35456
Title: Internal model control for InnoSAT attitude control
Authors: 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
Keywords: Back-propagation algorithm
Internal model control
Neural network
Issue Date: 2011
Publisher: IEEE Conference Publications
Citation: p. 451-456
Series/Report no.: Proceeding of the International Conference on Electrical, Control and Computer Engineering (InECCE 2011);
Abstract: 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.
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.
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5953924&tag=1
http://dspace.unimap.edu.my:80/dspace/handle/123456789/35456
ISBN: 978-161284228-8
Appears in Collections:Azian Azamimi Abdullah

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