Monneau, Antoine (LIS UMR 7020), M'Sirdi, Kouider Nacer (LSIS -CNRS UMR 6168), Mavromatis, Sébastien (LIS - Aix-Marseille Université), Varra, Guillaume (Airbus Helicopters), Salesse, Marc (Airbus Helicopters), Sequeira, Jean (LIS - Aix-Marseille Université)

Adaptive Prediction for Ship Motion in Rotorcraft Maritime Operations

Scheduled for presentation during the Regular Session "Operations" (FrM22), Friday, April 5, 2019, 11:30−12:00, BL281.1

5th CEAS Conference on Guidance, Navigation and Control, April 3-5, 2019, Milano, Italy

This information is tentative and subject to change. Compiled on April 16, 2024

Abstract

This paper focuses on motion prediction for a ship navigating through sea swell. Ship motion prediction may be useful for helicopter maritime operations, notably for search and rescue missions. An efficient prediction method based on adaptive notch filters (ANF) is proposed for non stationary perturbations. Classic methods of prediction are reviewed for comparison. An application using real ship motion data is considered in a performance evaluation. Finally, a comparative analysis based on prediction performance and real-time implementation constraints is presented.