Techniques for Uncertainty Modeling and Data Fusion for High-Precision Installation of Large Insertion Device in the Particle Accelerators

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ting Ding;Xiaolong Wang;Qiuyu Zhang;Wei Wang;Xuewei Zhang;Xiaoye He
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Abstract

With the increasing demands for installation accuracy in particle accelerators, accurately evaluating uncertainty throughout the complete installation chain has become a critical engineering challenge. Taking large-scale scientific facilities such as Hefei Advanced Light Facility (HALF) as an example, the complete installation chain involves multiple stages, including tunnel network measurement, component calibration, and equipment installation. These stages are influenced by various coupled error sources, and the complexity of on-site measurement environments further exacerbates the difficulty of accurately evaluating installation uncertainty. As a result, traditional methods that treat each step as an independent part for calculation fail to capture the true propagation paths of uncertainty, thereby severely limiting improvements in overall installation accuracy. Therefore, this article proposes symmetric transformation-based uncertainty data fusion (STDF) to construct the uncertainty model for the complete installation chain in particle accelerators. This model not only integrates environmental uncertainty, but also fully considers the random errors introduced jointly by the station coordinate system and the target coordinate system. It systematically addresses the problem of nonlinear error propagation across multiple stages under environmental disturbances. Once the installation uncertainty is accurately evaluated, we leverage the model to develop an efficient dual-laser system through data fusion to install a large insertion device in the particle accelerator, achieving a significant average accuracy improvement of more than 50% compared with traditional dual-laser systems that rely on simple averaging. The validity and accuracy improvement of STDF have been verified through simulation and measurement. The STDF method has been tested during the installation of the undulator at the HALF. STDF not only provides critical support for the high-precision installation of particle accelerator devices, but also offers a general methodological reference for uncertainty evaluation in other complex engineering systems, such as radio telescopes, precision astronomical instruments, and large-scale manufacturing systems.
粒子加速器大型插入装置高精度安装的不确定性建模与数据融合技术
随着对粒子加速器安装精度要求的不断提高,准确评估整个安装链的不确定性已成为一项关键的工程挑战。以合肥先进光设施(HALF)等大型科研设施为例,完整的安装链包括隧道网测量、组件校准、设备安装等多个阶段。这些阶段受到各种耦合误差源的影响,现场测量环境的复杂性进一步加剧了准确评估安装不确定性的难度。因此,将每一步作为独立部分进行计算的传统方法无法捕捉到不确定性的真实传播路径,从而严重限制了整体安装精度的提高。为此,本文提出了基于对称变换的不确定性数据融合(STDF)来构建粒子加速器完整安装链的不确定性模型。该模型既考虑了环境的不确定性,又充分考虑了站坐标系与目标坐标系共同引入的随机误差。系统地解决了环境扰动下多阶非线性误差传播问题。一旦准确评估了安装不确定性,我们利用该模型通过数据融合开发了一个高效的双激光系统,在粒子加速器中安装了一个大型插入装置,与依赖简单平均的传统双激光系统相比,平均精度提高了50%以上。通过仿真和测量验证了STDF的有效性和精度的提高。STDF方法已经在半波器的安装过程中进行了测试。STDF不仅为粒子加速器装置的高精度安装提供了关键支持,而且还为射电望远镜、精密天文仪器和大型制造系统等其他复杂工程系统的不确定度评估提供了一般的方法参考。
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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