System Identification of Unmanned Aerial Vehicles

dc.contributor.advisor	Simonsen, Ingve	nb_NO
dc.contributor.advisor	Fossen, Thor Inge	nb_NO
dc.contributor.author	Ingebretsen, Thomas	nb_NO
dc.date.accessioned	2014-12-19T13:17:28Z
dc.date.available	2014-12-19T13:17:28Z
dc.date.created	2012-06-21	nb_NO
dc.date.issued	2012	nb_NO
dc.identifier	536449	nb_NO
dc.identifier	ntnudaim:6831	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/246656
dc.description.abstract	The least squares method has been applied to estimate parameters inan aerodynamic model of a simulated aircraft, using data that can beexpected to available from sensors on an Unmanned Aerial Vehicle. Acombination of two non-linear state observers have been implemented toestimate wind data such as angle of attack, sideslip and dynamic pressure.Simulations have confirmed that the observers are able to estimete thewind data using noisy sensor measurements. Parameter estimation havebeen demonstrated with both measured and estimated wind data.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for fysikk	nb_NO
dc.subject	ntnudaim:6831	no_NO
dc.subject	MTFYMA fysikk og matematikk	no_NO
dc.subject	Teknisk fysikk	no_NO
dc.title	System Identification of Unmanned Aerial Vehicles	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	96	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for naturvitenskap og teknologi, Institutt for fysikk	nb_NO