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基于图优化参数辨识的船体变形测量方法

  • Dongsheng Xu
  • , Xiaoli Zhang*
  • , Ying He
  • , Xiafu Peng
  • , Ningfang Song
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

As the accuracy of model parameters affects the accuracy of inertial matching measurements of hull deformation, this study proposes a method for parameter identification of the hull deformation model based on graph optimization and applies it to inertial matching measurements. By analyzing the influence of preset parameters of the hull deformation model on the Kalman filter of inertial matching measurements, the influence mechanism of parameters on inertial matching accuracy is obtained. By combining hull deformation historical data with hull deformation model parameters to be identified, the graph optimization model of hull deformation parameter identification is established, thus realizing the identification of preset model parameters of hull deformation inertial matching. Finally, the parameter identification results are substituted into the inertial matching equation to complete the accurate measurement. The simulation results demonstrate that this method effectively identifies the hull deformation parameters and ensures the accuracy of inertial matching measurements of hull deformation.

投稿的翻译标题Hull deformation measurement method based on graph optimization parameter identification
源语言繁体中文
页(从-至)247-253
页数7
期刊Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
45
2
DOI
出版状态已出版 - 2月 2024

关键词

  • Kalman filter
  • accurate measurement
  • graph optimization
  • hull deformation
  • hyper graph
  • inertial matching measurement
  • parameter identification
  • preset parameter

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