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.

[img] PDF (836kB)
Available to QUT staff and students only | Request a copy from author

Abstract

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.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 54061
Item Type: Conference Paper
Refereed: Yes
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
organization, hold copyright on all of the original material
included in this paper. The authors also confirm that they
have obtained permission, from the copyright holder of
any third party material included in this paper, to publish
it as part of their paper. The authors confirm that they
give permission, or have obtained permission from the
copyright holder of this paper, for the publication and
distribution of this paper as part of the ICAS2012
proceedings or as individual off-prints from the
proceedings.
Deposited On: 09 Oct 2012 22:44
Last Modified: 20 Mar 2013 18:53

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page