Ship angular deformation will lead attitude error to shipboard equipment, which needs to be estimated and compensated. To reduce the number of deformation measurement sensors and predict deformation at points of interest, a spatial prediction approach for ship deformation using vibration mode superposition based on the two-dimensional hydroelasticity theory is proposed. In this method, the angular deformation at any position on a ship is expressed as a superposition of the vibration modes and the principal coordinates. Specifically, the vibration modes are determined by the ship structural parameters. The principal coordinates are time-varying motion responses of hull subjected to random waves and other external forces, which can be calculated by multiple sensors fusion. The spatial prediction model is validated in the simulation and the results demonstrate that the proposed method is suitable for both the interpolation and extrapolation deformation prediction, which provides support for the ship tasks requiring high-precision attitude.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Approach for Ship Angular Deformation Prediction Based on Mode Superposition

  • Wei Wu,
  • Xiangyuan Li,
  • Xinming Ma

摘要

Ship angular deformation will lead attitude error to shipboard equipment, which needs to be estimated and compensated. To reduce the number of deformation measurement sensors and predict deformation at points of interest, a spatial prediction approach for ship deformation using vibration mode superposition based on the two-dimensional hydroelasticity theory is proposed. In this method, the angular deformation at any position on a ship is expressed as a superposition of the vibration modes and the principal coordinates. Specifically, the vibration modes are determined by the ship structural parameters. The principal coordinates are time-varying motion responses of hull subjected to random waves and other external forces, which can be calculated by multiple sensors fusion. The spatial prediction model is validated in the simulation and the results demonstrate that the proposed method is suitable for both the interpolation and extrapolation deformation prediction, which provides support for the ship tasks requiring high-precision attitude.