NDLI: Augmenting the helicopter-ship dynamic interface using an autonomous safe-landing prediction scheme

Content Provider	IEEE Xplore Digital Library
Author	Fourie, C. Jones, T.
Copyright Year	2015
Description	Author affiliation: Dept. of Elec. & Electron. Eng., Stellenbosch Univ., Stellenbosch, South Africa (Fourie, C.; Jones, T.)
Abstract	The operational interface between a helicopter and a ship deck is a complex, dynamic and hazardous environment that presents a unique set of challenges to both engineers and pilots alike. Unmanned helicopters require a specific set of conditions to be met and maintained in order to commit to a landing, where large amounts of energy or large angular deviations of the ship deck can cause undesirable and dangerous effects, such as dynamic rollover. An analysis of the prediction problem is given, based on datasets collected from a 70m ship in South African waters, as well as an illustration of a real-time technique based on standard ship measurements that can be used to indicate potential landing periods. This is intended for application as a subsystem that can be used to facilitate autonomous landings of Unmanned Aerial Vehicles (UAVs) while at sea. The system also has potential as a bridge landing aid to allow operators to select ideal landing periods for helicopter operations. Simulations, based on real datasets, illustrate adequate prediction quality ranging from 3 seconds to 20 seconds in the future, depending on the forward prediction coherency for the dataset.
Starting Page	26
Ending Page	33
File Size	1034089
Page Count	8
File Format	PDF
e-ISBN	9781479960101
DOI	10.1109/ICUAS.2015.7152271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Helicopters Coherence Predictive models Prediction algorithms Mathematical model Marine vehicles Vehicle dynamics
Content Type	Text
Resource Type	Article

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