DocumentCode
2362273
Title
Unmanned Aerial Vehicle Flight Model Validation Using On-Board Sensing and Instrumentation
Author
Wong, D.R. ; Ou, Qingyu ; Sinclair, M. ; Li, Y.J. ; Chen, X.Q. ; Marburg, A.
Author_Institution
Dept. of Mech. Eng., Univ. of Canterbury, Christchurch
fYear
2008
fDate
2-4 Dec. 2008
Firstpage
109
Lastpage
114
Abstract
An unmanned aerial vehicle (UAV) flight dynamics model has been developed to predict the stability and flying characteristics of small UAVs. Extreme flight environments can be created in the simulation for autopilot testing. Another important application of the UAV flight dynamics model is dead reckoning, a process of estimating the aircraft´s motions from the last known state during the interval of losing GPS signals. An effective model could also remove the need for some of the expensive sensors required for navigation. For the flight dynamics model to be of real use, its accuracy must be known and documented, so that it can be analyzed and sources of errors identified. This paper presents the process and hardware developed for validating a UAV flight dynamics model.
Keywords
Global Positioning System; aerospace control; navigation; remotely operated vehicles; stability; GPS signals; extreme flight environments; flight dynamics; navigation; onboard instrumentation; onboard sensing; stability; unmanned aerial vehicle flight model validation; Aerospace simulation; Aircraft navigation; Dead reckoning; Instruments; Motion estimation; Predictive models; Stability; Testing; Unmanned aerial vehicles; Vehicle dynamics; Unmanned Aerial Vehicle; dead reckoning; flight dynamics model; flight simulation; wind speed sensor; wind tunnel testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Machine Vision in Practice, 2008. M2VIP 2008. 15th International Conference on
Conference_Location
Auckland
Print_ISBN
978-1-4244-3779-5
Electronic_ISBN
978-0-473-13532-4
Type
conf
DOI
10.1109/MMVIP.2008.4749516
Filename
4749516
Link To Document