{"title":"A multi-scale deformation measurement method for large parabolic antenna surfaces based on shape sensing and ray tracing","authors":"Zihan Zhang , Qian Ye , Na Wang , Guoxiang Meng","doi":"10.1016/j.measurement.2025.118036","DOIUrl":null,"url":null,"abstract":"<div><div>In the new era, large parabolic antennas are operating at increasingly higher frequencies, with deformations caused by time-varying loads such as temperature and wind receiving significant attention. Existing surface measurement methods struggle to meet the requirements for full-attitude, quasi-real-time, high-accuracy, and high-resolution measurements of large-aperture antennas. To address this challenge, we develop a multi-scale deformation measurement method based on shape sensing and ray tracing in this work. In the proposed method, the inverse finite element method (iFEM) is employed to provide small-scale deformation information of the panels, enabling shape sensing. The ray equations obtained through ray tracing and geometric continuity constraints are used to provide essential large-scale information for surface deformation measurement, specifically the rigid pose information of the panels. Simulation results using the TM-65 m antenna as an example demonstrate that the method can achieve measurement errors below 0.1 mm. Additionally, experiments are conducted on a self-built measurement system, where high-accuracy calibration was achieved using a camera-scanner fusion approach. The experimental results demonstrate that the proposed method achieves a measurement error of about 0.2 mm and a relative error of about 5%. The measurement time in the experimental setup is approximately 30 s, which is 1/20th of that required by the laser scanning method.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118036"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125013958","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In the new era, large parabolic antennas are operating at increasingly higher frequencies, with deformations caused by time-varying loads such as temperature and wind receiving significant attention. Existing surface measurement methods struggle to meet the requirements for full-attitude, quasi-real-time, high-accuracy, and high-resolution measurements of large-aperture antennas. To address this challenge, we develop a multi-scale deformation measurement method based on shape sensing and ray tracing in this work. In the proposed method, the inverse finite element method (iFEM) is employed to provide small-scale deformation information of the panels, enabling shape sensing. The ray equations obtained through ray tracing and geometric continuity constraints are used to provide essential large-scale information for surface deformation measurement, specifically the rigid pose information of the panels. Simulation results using the TM-65 m antenna as an example demonstrate that the method can achieve measurement errors below 0.1 mm. Additionally, experiments are conducted on a self-built measurement system, where high-accuracy calibration was achieved using a camera-scanner fusion approach. The experimental results demonstrate that the proposed method achieves a measurement error of about 0.2 mm and a relative error of about 5%. The measurement time in the experimental setup is approximately 30 s, which is 1/20th of that required by the laser scanning method.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.