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 |
| 卷 | 45 |
| 期 | 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
指纹
探究 '基于图优化参数辨识的船体变形测量方法' 的科研主题。它们共同构成独一无二的指纹。引用此
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