Institutional Repository of Radio Astronomy Research Laboratory
Large Telescope Wind Load Estimation with Gradient Segments Superposition and its Servo Control | |
Yu, Jia-Heng1; Xue, Song1,2; Luan, Tian1; Wang, Long-Yang1; Lian, Pei-Yuan1; Yan, Yue-Fei2; Kong, De-Qing3; Zhao, Wu-Lin4; Xu, Qian5![]() | |
2023-09-01 | |
Source Publication | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
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ISSN | 1674-4527 |
Volume | 23Issue:9Pages:095008 |
Contribution Rank | 5 |
Abstract | Obtaining the wind load distribution on the telescope aperture is very important to estimate its influence and reduce the wind disturbance on the telescope system. The aperture of the radio telescope structure can be as large as 100 m and therefore, the uniform wind load on the aperture assumption is not suitable for the radio telescope with large aperture. In this paper, a gradient segments superposition method for calculating the wind load has been proposed. The proposed method has been constructed by combining two regional divisions. First, reflecting surface has been evenly divided in the altitudinal direction. Second, the reflecting surface has been divided into several uniform rings assuming that the wind load coefficient on different rings are different. For the 110 m aperture radio telescope, the wind load estimation results differ by 28%. After that, a structural dynamics model of telescope has been established and a fuzzy PID controller has been designed to reduce wind disturbance. The Root Mean Square Error of telescope pointing under wind disturbance has been reduced by 67.8%. It is suggested that the proposed wind load estimation method has lay a solid foundation for the design of the large telescope system under wind disturbance. |
Keyword | methods: analytical methods: data analysis methods: numerical telescopes |
DOI | 10.1088/1674-4527/acd169 |
Indexed By | SCI |
Language | 英语 |
WOS Keyword | CONTROL-SYSTEMS |
Funding Project | National Key Research and Development Program of China[2021YFC2203600] ; National Natural Science Foundation of China[52005377] ; National Natural Science Foundation of China[52275268] ; National Defense Basic Scientific Research Program of China[JCKY2021210B007] ; Wuhu and Xidian University Special Fund for Industry-University-Research Cooperation[XWYCXY-012021012] ; Youth Innovation Team of Shaanxi Universities[201926] |
WOS Research Area | Astronomy & Astrophysics |
WOS Subject | Astronomy & Astrophysics |
WOS ID | WOS:001036269300001 |
Publisher | NATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES |
Funding Organization | National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Defense Basic Scientific Research Program of China ; Wuhu and Xidian University Special Fund for Industry-University-Research Cooperation ; Youth Innovation Team of Shaanxi Universities |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.xao.ac.cn/handle/45760611-7/5353 |
Collection | 射电天文研究室_天线技术实验室 110米口径全可动射电望远镜(QTT)_技术成果 |
Corresponding Author | Xue, Song; Yan, Yue-Fei |
Affiliation | 1.Xidian Univ, Sch Mechanoelect Engn, Xian 710071, Peoples R China 2.Xidian Univ, Guangzhou Inst Technol, Guangzhou 510555, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.39th Res Inst China Elect Technol Grp Corp, Xian 710065, Peoples R China 5.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China |
Recommended Citation GB/T 7714 | Yu, Jia-Heng,Xue, Song,Luan, Tian,et al. Large Telescope Wind Load Estimation with Gradient Segments Superposition and its Servo Control[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2023,23(9):095008. |
APA | Yu, Jia-Heng.,Xue, Song.,Luan, Tian.,Wang, Long-Yang.,Lian, Pei-Yuan.,...&Wang, Cong-Si.(2023).Large Telescope Wind Load Estimation with Gradient Segments Superposition and its Servo Control.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,23(9),095008. |
MLA | Yu, Jia-Heng,et al."Large Telescope Wind Load Estimation with Gradient Segments Superposition and its Servo Control".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 23.9(2023):095008. |
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Yu-2023-Large Telesc(1984KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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