Maneuvering Simulation of Sea Fighter Using a Fast Nonlinear Time Domain Technique

Abstract

Efforts to develop and mature a nonlinear time domain technique, based on a fast recursive neural network approach, to simulate the six degree-of-freedom (6-dof) motion of a ship in wind and waves are continuing. Here we describe work to develop a simulation for the Office of Naval Research (ONR) high speed experimental vessel, Sea Fighter (FSF-1). Results are presented comparing the measured 6-dof response of Sea Fighter operating at sea in sea states 4 and 5 with simulation predictions. The results show that open loop predictions of speed, pitch, heading and trajectory are quite accurate. The predictions for the very small roll angles are not as good indicating that improvements are still needed. Nevertheless, these early results demonstrate an emerging capability for predicting 6-dof ship motions for full scale vehicles in irregular waves.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2007
Accession Number
ADP023900

Entities

People

  • David E. Hess
  • Lisa Minnick
  • Thomas C. Fu
  • William E. Faller

Organizations

  • Naval Surface Warfare Center Carderock Division

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Angular Acceleration
  • Control Systems
  • Coordinate Systems
  • Doppler Effect
  • Frequency
  • Latitude
  • Longitude
  • Measurement
  • Metacentric Height
  • Michigan
  • Neural Networks
  • Radar
  • Ship Motion
  • Surface Warfare
  • Swath Ships
  • Time Domain
  • Water Jets

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Marine Hydrodynamics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks