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dc.contributor.authorSiti Maryam, Sharun
dc.contributor.authorMohd Yusoff, Mashor, Prof. Dr.
dc.contributor.authorM. N. Norhayati
dc.contributor.authorW. N. Hadani
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.date.accessioned2011-04-20T09:09:37Z
dc.date.available2011-04-20T09:09:37Z
dc.date.issued2011-03
dc.identifier.citationInternational Journal of Research and Reviews in Artificial Intelligence, vol.1(1), 2011, pages 1-6en_US
dc.identifier.issn2046-5122
dc.identifier.urihttp://sciacademypublisher.com/journals/index.php/IJRRAI/article/view/45/38
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/11620
dc.descriptionLink to publisher's homepage at http://sciacademypublisher.comen_US
dc.description.abstractThere 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.en_US
dc.language.isoenen_US
dc.publisherScience Academy Publisheren_US
dc.subjectAdaptive Neuro-Controller (ANC)en_US
dc.subjectSatelliteen_US
dc.subjectInnovative Satellite (InnoSAT)en_US
dc.titleAdaptive Neuro-Controller for three-axes attitude control of innovative satelliteen_US
dc.typeArticleen_US
dc.contributor.urlsiti_mrym@ymail.comen_US
dc.contributor.urlyusoff@unimap.edu.myen_US
dc.contributor.urlyatie_yasin@yahoo.comen_US
dc.contributor.urlhadani@unimap.edu.myen_US
dc.contributor.urlsazali22@yahoo.comen_US


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