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
2 GMOD - MODélisation Géométrique
3 Airbus Helicopters

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.

Domains: Computer Science [cs]; Automatic Control Engineering; Engineering Sciences [physics]; Automatic

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⟩