• DocumentCode
    720445
  • Title

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

  • Author

    Fourie, Chris ; Jones, Thomas

  • Author_Institution
    Dept. of Elec. & Electron. Eng., Stellenbosch Univ., Stellenbosch, South Africa
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    26
  • Lastpage
    33
  • 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.
  • Keywords
    autonomous aerial vehicles; helicopters; UAVs; autonomous landings; autonomous safe-landing prediction scheme; bridge landing aid; dynamic rollover; helicopter-ship dynamic interface; operational interface; ship deck; ship measurements; unmanned aerial vehicles; unmanned helicopters; Coherence; Helicopters; Marine vehicles; Mathematical model; Prediction algorithms; Predictive models; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152271
  • Filename
    7152271