Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/30426
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dc.contributor.authorNorhayati, M. N.-
dc.contributor.authorMohd Yusoff, Mashor, Prof. Dr.-
dc.contributor.authorSiti Maryam, Sharun-
dc.contributor.authorAzian Azamimi, Abdullah-
dc.contributor.authorWan Nur Hadani-
dc.date.accessioned2013-12-11T08:40:46Z-
dc.date.available2013-12-11T08:40:46Z-
dc.date.issued2012-06-18-
dc.identifier.citationp. 275-284en_US
dc.identifier.isbn978-967-5760-11-2-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/30426-
dc.descriptionThe 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.en_US
dc.description.abstractIn this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude. Controller architecture, which is combination of IMAC with MLP network, has been outlined and its effectiveness is demonstrated on the InnoSAT system. The control signal error is used with Recursive Least Square (RLS) algorithm with forgetting factor to update the weight of the ANC. This controller has been tested using the InnoSAT system with several operating conditions. In conclusion, the ANC based on IMAC scheme is analyzed, and compared with the classical PID controller results. As can be seen from the simulation results, the ANC based on IMAC scheme is successfully implemented to control the InnoSAT attitude.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);-
dc.subjectAdaptive neuro-controlleren_US
dc.subjectInternal model adaptive controlen_US
dc.subjectMultilayer perceptron networken_US
dc.subjectRecursive least square algorithmen_US
dc.titleAdaptive neuro-controller based on IMAC scheme for InnoSAT controlen_US
dc.typeWorking Paperen_US
dc.contributor.urlyati_yasin@yahoo.comen_US
dc.contributor.urlyusoff@unimap.edu.myen_US
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.
Azian Azamimi Abdullah

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