| dc.contributor.author | Norhayati, M. N. | |
| dc.contributor.author | Mohd Yusoff, Mashor, Prof. Dr. | |
| dc.contributor.author | Siti Maryam, Sharun | |
| dc.contributor.author | Azian Azamimi, Abdullah | |
| dc.contributor.author | Wan Nur Hadani | |
| dc.date.accessioned | 2013-12-11T08:40:46Z | |
| dc.date.available | 2013-12-11T08:40:46Z | |
| dc.date.issued | 2012-06-18 | |
| dc.identifier.citation | p. 275-284 | en_US |
| dc.identifier.isbn | 978-967-5760-11-2 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/30426 | |
| dc.description | The 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.abstract | In 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.iso | en | en_US |
| dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
| dc.relation.ispartofseries | Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); | |
| dc.subject | Adaptive neuro-controller | en_US |
| dc.subject | Internal model adaptive control | en_US |
| dc.subject | Multilayer perceptron network | en_US |
| dc.subject | Recursive least square algorithm | en_US |
| dc.title | Adaptive neuro-controller based on IMAC scheme for InnoSAT control | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.url | yati_yasin@yahoo.com | en_US |
| dc.contributor.url | yusoff@unimap.edu.my | en_US |
