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VTOL UAS Auto-recovery Using A Tested Long-Term Motion Prediction Method to Define the Deck Environment

Bernard Ferrier, FRAeS Frina, Syntek Technologies Inc.
B. Watson, Royal Navy
M. R. Belmont, J. T. Christmas, University of Exeter

May 7, 2024

https://doi.org/10.4050/F-0080-2024-1058

Abstract:
Launch, recovery, and deck handling operational performance on smaller ship platforms like Corvettes, Frigates and Destroyers are qualified as the most challenging tasks in the UAS ship-deployment of a VTOL Uncrewed Air System (UAS). One of the main hurdles is the random nature of seaway-created deck motions coupled with ship structure disturbed air wake patterns. The MoD has supported a range of work aimed at bringing Quiescent Period Prediction (QPP) technology to fruition. QPP firstly requires Wave Profiling RADAR to measure the sea wave system out to approximately 2km in the region around a vessel. Secondly these measurements are employed in a wave propagation model to predict the actual wave forces acting on a vessel. Using the wave predictions as inputs to a vessel model makes possible to predict the actual (deterministic as opposed to statistical) motions of a vessel. Wave systems naturally alternate groups of large waves with smaller waves, this property, combined with the predictive ability, allows to identify the quietest (most quiescent) periods in which to conduct wave limited naval operations. Naval mission planners in the Royal Navy, and elsewhere in the World, appreciate the need to maintain rapid, but safe, deck tempo. The fundamental concept is to measure remote sea surface profiles to predict the future wave forces acting upon a vessel. The objective is to expand ship operating deck limits to approximately Sea State 6+. The deck definitions generally empirically measured by using standard rating scales, are replaced by instrumented devices reporting the status of the deck prior to touch-down. In this paper, a thorough discussion describing the QPP deck measuring devices designed to replace piloted cueing is provided. Theory, previous simulation studies and current at-sea testing along with data results, are also discussed. To conclude, the interface of the deck measuring device into the next version of the UK UAS system, is provided. The results of the RADAR trial indicated that the RADAR data was reliable, with the RADAR images matching the physical map. The two-dimensional surface plot showed both the RADAR blocking fence along with an additional target. An additional observation concerning the operation over the deck whilst the ship is experiencing a quiescent ship motion period. The coupled secondary effect documents minimized air wake confusion. This is owing to fewer ship structure excursions into and out of the air flow. To better define deck airflow around the ship the integration of a Doppler LIDAR instrumented federate is proposed. This is meant to predict the future vessel air wake and look for quiescent periods in this paralleling the vessel motion QPP technique.


VTOL UAS Auto-recovery Using A Tested Long-Term Motion Prediction Method to Define the Deck Environment

  • Presented at Forum 80 - Best Paper for this session
  • 11 pages
  • SKU # : F-0080-2024-1058
  • October 2024 Paper of the Month
    Autonomy and UAS

  • Your Price : $30.00
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VTOL UAS Auto-recovery Using A Tested Long-Term Motion Prediction Method to Define the Deck Environment

Authors / Details:
Bernard Ferrier, FRAeS Frina, Syntek Technologies Inc.
B. Watson, Royal Navy
M. R. Belmont, J. T. Christmas, University of Exeter