Sea-based aviation operations, such as carrier launch / recovery of aircraft, can be limited or interrupted by ship motion. Such operations may benefit from real time ship-motion forecasting, particularly in sea states above SS6, as unanticipated large motions may suddenly occur. Ship motion forecasting was optimized using an autoregressive moving average vector (ARMAV) model. The forecasting was accurate for approximately 25 seconds with accuracy evaluated using either correlation coefficient or root mean square error metrics. The ship motion data evaluated was simulation data generated by a ship motion prediction program for a generic CVN hull.
- Fluids Engineering Division
Forecasting Optimal Time-of-Arrival for Carrier Landings Using Prior Ship Motion
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Vorwald, J, Schwartz, A, Kent, C, & Nguyen, P. "Forecasting Optimal Time-of-Arrival for Carrier Landings Using Prior Ship Motion." Proceedings of the ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. Volume 2: Development and Applications in Computational Fluid Dynamics; Industrial and Environmental Applications of Fluid Mechanics; Fluid Measurement and Instrumentation; Cavitation and Phase Change. Montreal, Quebec, Canada. July 15–20, 2018. V002T09A017. ASME. https://doi.org/10.1115/FEDSM2018-83218
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