Displacement motion prediction of a landing deck for recovery operations of rotary UAVs

Yang, Xilin (2013) Displacement motion prediction of a landing deck for recovery operations of rotary UAVs. International Journal of Control, Automation and Systems, 11(1), pp. 58-64.

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Abstract

This paper proposes a practical prediction procedure for vertical displacement of a Rotarywing Unmanned Aerial Vehicle (RUAV) landing deck in the presence of stochastic sea state disturbances. A proper time series model tending to capture characteristics of the dynamic relationship between an observer and a landing deck is constructed, with model orders determined by a novel principle based on Bayes Information Criterion (BIC) and coefficients identified using the Forgetting Factor Recursive Least Square (FFRLS) method. In addition, a fast-converging online multi-step predictor is developed, which can be implemented more rapidly than the Auto-Regressive (AR) predictor as it requires less memory allocations when updating coefficients. Simulation results demonstrate that the proposed prediction approach exhibits satisfactory prediction performance, making it suitable for integration into ship-helicopter approach and landing guidance systems in consideration of computational capacity of the flight computer.

Impact and interest:

7 citations in Scopus
3 citations in Web of Science®
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ID Code: 62002
Item Type: Journal Article
Refereed: Yes
Keywords: Bayes information criterion, Recursive least square, Times series
DOI: 10.1007/s12555-011-0157-8
ISSN: 1598-6446
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: Springer
Deposited On: 22 Aug 2013 04:14
Last Modified: 08 Apr 2015 04:29

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