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基于拉绳位移传感器的飞机大部件对接测量场构建与位姿求解

王洪喜 孙正阳 刘冰 王冠伟

光学精密工程2024,Vol.32Issue(21):3184-3199,16.
光学精密工程2024,Vol.32Issue(21):3184-3199,16.DOI:10.37188/OPE.20243221.3184

基于拉绳位移传感器的飞机大部件对接测量场构建与位姿求解

Docking measurement field construction and pose solving for aircraft large components based on draw-wire displacement sensors

王洪喜 1孙正阳 1刘冰 1王冠伟1

作者信息

  • 1. 西安工业大学 机电工程学院,陕西 西安 710021||精密与超精密加工及测量国家地方联合工程研究中心,陕西 西安 710021
  • 折叠

摘要

Abstract

To address the challenges posed by environmental factors such as temperature,humidity,air turbulence,station transfer,and line-of-sight obstructions in pose measurement systems like laser-based,iGPS,and visual imagery methods,a novel measurement field employing draw-wire displacement sensors was developed for detecting the relative pose of large aircraft components.The relative positions and orien-tations of these components were calculated using a back propagation BP neural network-Newton iteration method.By strategically arranging six sets of draw-wire displacement sensors along the docking surfaces of the aircraft components,a theoretical model for pose determination was established.The pose was sub-sequently resolved through the neural network-Newton algorithm.Numerical simulations demonstrate that the maximum position error is 4.9×10⁻⁷ mm,and the maximum attitude angle error is 1.97×10⁻⁹°.Comparative analyses between error simulations and experimental results confirmed the feasibility and pre-cision of this approach.The findings indicate that the proposed method remains robust against external en-vironmental disturbances and enables highly accurate detection of the relative pose of large components.

关键词

大尺寸测量/拉绳位移传感器/大部件/位姿/BP神经网络算法/牛顿迭代法

Key words

large dimension measurement/draw-wire displacement sensor/large components/pose/BP neural network algorithm/Newton iteration method

分类

航空航天

引用本文复制引用

王洪喜,孙正阳,刘冰,王冠伟..基于拉绳位移传感器的飞机大部件对接测量场构建与位姿求解[J].光学精密工程,2024,32(21):3184-3199,16.

基金项目

新疆维吾尔自治区重大科技专项(No.2023A02010-2) (No.2023A02010-2)

国际科技合作计划资助项目(No.2019KW-048) (No.2019KW-048)

光学精密工程

OA北大核心CSTPCD

1004-924X

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