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dc.contributor.authorNor Hazadura, Hamzah
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorTeoh, Vil Cherd
dc.contributor.authorSiti Maryam, Harun
dc.contributor.authorHariharan, Muthusamy
dc.contributor.authorMohamad Nazri, Dol Bahar
dc.contributor.authorNorhizam, Hamzah
dc.date.accessioned2012-07-20T03:03:08Z
dc.date.available2012-07-20T03:03:08Z
dc.date.issued2012-02-27
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20506
dc.descriptionInternational Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.en_US
dc.description.abstractIn space, the attitude analysis of a satellite is constantly being computed within the system of the satellite. In this paper, the linear mathematical model of the satellite attitude control with gravity gradient moment, which is inherent in low-orbit satellite is derived. Additionally, attitude estimation using the Kalman Filter technique is employed to predict the actual satellite’s attitude despite the disturbance presence in the system. As for demonstration purpose, a simulation of the satellite’s attitude under gravity gradient moment, and the attitude estimation via Kalman Filter is carried out using MATLAB software. The simulation results show that the initial conditions affect the satellite’s attitude, and attitude estimation process is important to estimate the actual satellite’s attitude despite of disturbance presence.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012en_US
dc.subjectMathematical modelen_US
dc.subjectSatellite attitude controlen_US
dc.subjectGravity gradient momenten_US
dc.subjectAttitude estimationen_US
dc.subjectKarman Filteren_US
dc.titleMathematical model attitude estimation using Kalman filter technique for low earth orbit satelliteen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urlhazadura@unimap.edu.myen_US


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