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System Identification of Unmanned Aerial Vehicles
Norwegian University of Science and Technology, Faculty of Natural Sciences and Technology, Department of Physics.
2012 (English)MasteroppgaveStudent thesis
Abstract [en]

The least squares method has been applied to estimate parameters in an aerodynamic model of a simulated aircraft, using data that can be expected to available from sensors on an Unmanned Aerial Vehicle. A combination of two non-linear state observers have been implemented to estimate wind data such as angle of attack, sideslip and dynamic pressure. Simulations have confirmed that the observers are able to estimete the wind data using noisy sensor measurements. Parameter estimation have been demonstrated with both measured and estimated wind data.

Place, publisher, year, edition, pages
Institutt for fysikk , 2012. , 96 p.
Keyword [no]
ntnudaim:6831, MTFYMA fysikk og matematikk, Teknisk fysikk
URN: urn:nbn:no:ntnu:diva-16776Local ID: ntnudaim:6831OAI: diva2:536449
Available from: 2012-06-21 Created: 2012-06-21

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