Extracting deck trend to plan descent trajectory for safe landing of UAVs
Yang, Xilin & Mejias, Luis (2012) Extracting deck trend to plan descent trajectory for safe landing of UAVs. In Grant, Ian (Ed.) 28th International Congress of the Aeronautical Sciences, ICAS, Brisbane, Australia.
This paper outlines a feasible scheme to extract deck trend when a rotary-wing unmanned aerial vehicle (RUAV)approaches an oscillating deck. An extended Kalman filter (EKF) is de- veloped to fuse measurements from multiple sensors for effective estimation of the unknown deck heave motion. Also, a recursive Prony Analysis (PA) procedure is proposed to implement online curve-fitting of the estimated heave mo- tion. The proposed PA constructs an appropriate model with parameters identified using the forgetting factor recursive least square (FFRLS)method. The deck trend is then extracted by separating dominant modes. Performance of the proposed procedure is evaluated using real ship motion data, and simulation results justify the suitability of the proposed method into safe landing of RUAVs operating in a maritime environment.
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|Item Type:||Conference Paper|
|Keywords:||Rotary-wing UAV, Extended Kalman filter, Prony analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 The authors|
|Copyright Statement:||The authors confirm that they, and/or their company or
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|Deposited On:||09 Oct 2012 22:44|
|Last Modified:||20 Mar 2013 18:53|
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