Research on datumn transformation model in particle accelerator component installation

Qiuyu Zhang, Enchen Wu, Wei Wang, Xiao Li, T. Ding, Xiaoye He
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Abstract

When the important components of the particle accelerator are installed, it is required to locate the instrument in the global coordinate system by measuring the control points of the surrounding tunnels, which involves the datumn transformation between the global coordinate system and the station coordinate system, and the selection of the transformation model has gradually become a potential breakthrough in solving the problem. Four different models euler angle, Rodrigues matrix, dual quaternion and twelve parameters are used to analyze and compare the solution parameters, accuracy index, iteration efficiency, and the number of selected common points of the four models with the measured data of 2022 Hefei Light Source summer. The results show that the deviation of the four model parameters from the SpatialAnalyzer commercial software is no more than 3 μm for the translation parameters, and no more than 0.6” for the rotation angle. Among them, the twelve-parameters and dual quaternion two models are theoretically rigorous, with high and stable accuracy indexes, and the twelve parameters posteriori unit weight mean error shows obvious advantages. The twelve parameters and Rodrigues models have fewer iterations and higher efficiency. In summary, the dual quaternion model and twelve parameters method are preferred in the absence of better initial values. In addition, in the process of datumn transformation, along with the increase of the number of common points, the accuracies of all four model solutions show an increasing trend of first fast and then slow.
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粒子加速器组件安装中的数据柱转换模型研究
粒子加速器重要部件安装时,需要通过测量周边隧道的控制点,在全局坐标系中对仪器进行定位,这就涉及到全局坐标系与站场坐标系之间的数据柱变换,变换模型的选择逐渐成为解决问题的潜在突破口。本文采用欧拉角、罗德里格斯矩阵、二元四元数和十二参数四种不同模型,将四种模型的求解参数、精度指标、迭代效率和选取的公共点数与 2022 年合肥光源暑期实测数据进行分析比较。结果表明,四种模型参数与 SpatialAnalyzer 商业软件的平移参数偏差不超过 3 μm,旋转角度偏差不超过 0.6"。其中,十二参数和双四元数两种模型理论严谨,精度指标高且稳定,十二参数后置单位权平均误差优势明显。十二参数模型和罗德里格斯模型的迭代次数较少,效率较高。综上所述,在没有较好初始值的情况下,双四元数模型和十二参数法是首选。此外,在数据柱变换过程中,随着公共点数量的增加,四种模型解的精度都呈现出先快后慢的上升趋势。
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