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dc.contributor.advisorBright, Glen.
dc.contributor.advisorStopforth, Riaan.
dc.creatorOnunka, Chiemela.
dc.date.accessioned2012-03-16T11:16:02Z
dc.date.available2012-03-16T11:16:02Z
dc.date.created2011
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10413/5122
dc.descriptionThesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2011.en
dc.description.abstractMarine search and rescue activities have been plagued with the problem of risking the lives of rescuers in rescue operations. With increasing developments in sensor technologies, it became a necessity in the marine search and rescue community to develop an autonomous marine craft to assist in rescue operations. Autonomy of marine craft requires a robust localization technique and process. To apply robust localization to marine craft, GPS technology was used to determine the position of the marine craft at any given point in time. Given that the operational environment of the marine was at open air, river, sea etc. GPS signal was always available to the marine craft as there are no obstructions to GPS signal. Adequate cognizance of the current position and states of an unmanned marine craft was a critical requirement for navigation of an unmanned surface vehicle (USV). The unmanned surface vehicle uses GPS in conjunction with state estimated solution provided by inertial sensors. In the absence of the GPS signal, navigation is resumed with a digital compass and inertial sensors to such a time when the GPS signal becomes accessible. GPS based navigation can be used for an unmanned marine craft with the mathematical modelling of the craft meeting the functional requirements of an unmanned marine craft. A low cost GPS unit was used in conjunction with a low cost inertial measurement unit (IMU) with sonar for obstacle detection. The use of sonar in navigation algorithm of marine craft was aimed at surveillance of the operational environment of the marine craft to detect obstacles on its path of motion. Inertial sensors were used to determine the attitude of the marine craft in motion.en
dc.language.isoen_ZAen
dc.subjectVehicles, Remotely piloted--Mathematical models.en
dc.subjectRadio control.en
dc.subjectRemote control.en
dc.subjectSonar.en
dc.subjectGlobal Positioning System.en
dc.subjectRemote submersibles.en
dc.subjectTheses--Mechanical engineering.en
dc.subjectVehicles, Remotely piloted--Design and construction.en
dc.titleAutonomous sea craft for search and rescue operations : marine vehicle modelling and analysis.en
dc.typeThesisen


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