Adaptive Prediction for Ship Motion in Rotorcraft Maritime Operations

International audienc

Detection and Estimation of Helicopters Vibrations by Adaptive Notch Filters

International audienceThis paper addresses online vibration detection in helicopters using Adaptive Filters. Adaptive Notch Filters (ANF) are used to estimate and track the time varying frequencies of the vibrations. We estimate and track the amplitudes and phases of time varying frequencies of the vibrations. This allows the detection of abnormal oscillations in the helicopter flight to keep control of the aircraft. In the application presented, we show the detection of severe vibrations that occurred during a helicopter flight test. This proves the effectiveness of proposed ANF to track and reject narrow band perturbations

Adaptive Prediction for Ship Motion in Rotorcraft Maritime Operations

International audienceThis 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