中国科技核心期刊      中国指挥与控制学会会刊     军事装备类重点期刊
Command Control and Simulation

Command Control and Simulation >

2018 , Vol. 40 >Issue 1: 67 - 71

DOI: https://doi.org/10.3969/j.issn.1673-3819.2018.01.013

Theory & Research

An Optimization Method of Hull Deformation Measurement Based on Angular Velocity Matching

  • WANG Yu-huai ,
  • WU Tao-tao ,
  • HE Jia-zhou
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  • Jiangsu Automation Research Institute, Lianyungang 222061,China

Received date: 2017-10-23

  Revised date: 2017-11-14

  Online published: 2022-05-14

Copyright

, 2018, Copyright reserved © 2018. Office of Acta Agronomica Sinica All articles published represent the opinions of the authors, and do not reflect the official policy of the Chinese Medical Association or the Editorial Board, unless this is clearly specified.
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Abstract

Accurate measurement of hull deformation is of great significance in efforts to optimize large hull structure designs,monitor the hull health condition and establish the unified space benchmark of the ship.Methods of inertial measurement matching based on inertial sensors are development trend of hull deformation measurement.In view of the slow-varying characteristic of ship static deformation angular, A quasi-static deformation angular model, which uses A first-order Markov process to describe the slow-varying characteristic of static deformation angular is introduced on the basis of traditional angular velocity matching method.Then,the new filter model is introduced and simulated. The simulation results indicate that the traditional angular velocity matching method can not estimate the quasi-static deformation angle,whereas the optimized deformation model can track the quasi-static deformation process well and with a good estimation precision.

Key words： hull deformation measurement; angular velocity matching; quasi-static deformation; model optimization

Cite this article

WANG Yu-huai , WU Tao-tao , HE Jia-zhou . An Optimization Method of Hull Deformation Measurement Based on Angular Velocity Matching[J]. Command Control and Simulation, 2018 , 40(1) : 67 -71 . DOI: 10.3969/j.issn.1673-3819.2018.01.013

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