数字孪生环境下飞机装配过程中的激光跟踪仪位置优化

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关键词：数字孪生；激光跟踪仪；飞机装配；强化学习；粒子群算法

中图分类号：TP301.6；TP391.9

DOI：10.3969/j.issn.1004-132X.2025.07.020 开放科学（资源服务）标识码（OSID）：

Optimization of Laser Tracker Positions in Aircraft Assembly Processes under Digital Twin Environments

N Xiaoyu1ZHANG Hao1ZHANG Yuyan1*LIU Siren² JI Shuo1GUO Weifei1LI Hao1

1.Henan Provincial Key Laboratory of Intelligent Manufacturing of Mechanical Equipment， Zhengzhou University of Light Industry，Zhengzhou，450000 2.Shanghai Aircraft Manufacturing Limited Company，Shanghai，200436

Abstract： In order to solve the position optimization problems of laser trackers in guided assembly or off-shelf inspection，a Q-learning-based improved particle swarm optimization under digital twin environments was proposed herein. Firstly，a spatial position constraint model of the laser trackers and the digital twin scenario of the assembly shop element simulation were established. Secondly，a Markov decision model was constructed to dynamically adjust the target weight parameters. Finally， using pass-through rate of the laser tracker locations as evaluation benchmark，the algorithm was validated based on the digital twin environment and compared with other algorithms，which show that the algorithm has a better effectsiveness in optimizing the laser tracker locations and pass-through rate.

Key words： digital twin; laser tracker; aircraft assembly; reinforcement learning; particle swarm optimization

0 引言

随着航空制造技术的快速发展，飞机装配涉及的精密测量技术逐渐成为影响飞机总装质量及装配效率的关键因素。（剩余14884字）