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Adaptive Prediction for Ship Motion in Rotorcraft Maritime Operations

Antoine Monneau 1, 2 Nacer Msirdi 1 Sébastien Mavromatis 2 Guillaume Varra 3 Marc Salesse 3 Jean Sequeira 2 
1 SASV - Systèmes Automatisés à Structure Variable
LIS - Laboratoire d'Informatique et Systèmes
2 GMOD - MODélisation Géométrique
LIS - Laboratoire d'Informatique et Systèmes
Abstract : This paper focus on prediction of motion for a ship navigating through sea swell. Ship motion prediction may be useful for helicopter maritime operations and notably for search and rescue missions. An efficient prediction method based on ANF (Adaptive Notch Filters) is proposed for non stationary perturbations. Classical methods of prediction are reviewed for comparison. An application using real ship motion data is carried out for performance evaluation. Finally a comparative analysis based on prediction performance and real time implementation constraints is presented.
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Submitted on : Friday, May 22, 2020 - 3:13:27 AM
Last modification on : Friday, February 4, 2022 - 3:25:55 AM


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  • HAL Id : hal-02095955, version 1



Antoine Monneau, Nacer Msirdi, Sébastien Mavromatis, Guillaume Varra, Marc Salesse, et al.. Adaptive Prediction for Ship Motion in Rotorcraft Maritime Operations. 5th CEAS Specialist Conference on Guidance, Navigation & Control - EUROGNC, Apr 2019, MILAN, Italy. ⟨hal-02095955⟩



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