Multistation optimization of laser tracker system for large-scale measurement field based on Monte Carlo method

作者：Yue Liu, Wenyu Lu, Hao Wang, Jing Xu, Shuhang Li · 年份：2026 · DOI：10.1117/12.3116494 · 研究领域：Advanced Measurement and Metrology Techniques、Astronomical Observations and Instrumentation、Space Satellite Systems and Control

Large-scale precision measurement serves as a core technical support for high-end equipment fields such as aerospace and shipbuilding. Multi-station measurement systems using laser trackers are widely applied in the digital assembly and geometric error evaluation of large-scale components. However, the rationality of station layout is directly related to measurement uncertainty, and traditional experience-based station arrangement methods can hardly meet the requirements of accuracy consistency for complex measurement tasks. To address these issues, this paper proposes a multi-station optimization method for laser tracker system (LTS) in large-scale measurement fields based on the Monte Carlo method (MCM). Firstly, a mathematical model for station optimization of the LTS is established, and the measurement error model and spatial constraints of the LTS is analyzed. Secondly, the MCM is introduced, and a mathematical model for multistation layout optimization is constructed with the sum of tracker uncertainty and transfer-station uncertainty within the measurement field as the optimization objective, which is solved by an intelligent optimization algorithm. Verification through simulation cases of typical large-scale measurement scenarios shows that the optimized station layout can reduce the measurement uncertainty of key feature points by more than 23%. The method proposed in this paper can provide a theoretical basis and engineering guidance for station planning in large-sc...