Surface Adjustment Strategy for a Large Radio Telescope with Adjustable Dual Reflectors

Abstract

With the development of large-aperture and high-frequency radio telescopes, a surface adjustment procedure for the compensation of surface deformations has become of great importance. In this study, an innovative surface adjustment strategy is proposed to achieve an automated adjustment for the large radio telescope with adjustable dual reflectors. In the proposed strategy, a high-precision and long-distance measurement instrument is adopted and installed on the back of the sub-reflector to measure the distances and elevation angles of the target points on the main reflector. Here, two surface adjustment purposes are discussed. The first purpose is to ensure that the main reflector and sub-reflector are always positioned at their ideal locations during operation. The second purpose is to adjust the main reflector to the location of the best fitting reflector, and the sub-reflector to the focus of the best fitting reflector. Next, the calculation procedures for the adjustments of the main reflector and the sub-reflector are discussed in detail, and corresponding simulations are carried out to verify the proposed method. The results show that the proposed strategy is effective. This study can provide helpful guidance for the design of automated surface adjustments for large telescopes.

Publication DOI: https://doi.org/10.1049/iet-map.2019.0387
Divisions: College of Engineering & Physical Sciences
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Microwaves, Antennas & Propagation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Uncontrolled Keywords: Electrical and Electronic Engineering
Publication ISSN: 1751-8733
Full Text Link:
Related URLs: https://digital ... t-map.2019.0387 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-12-18
Published Online Date: 2019-08-15
Accepted Date: 2019-08-14
Authors: Lian, Peiyuan
Wang, Congsi
Xue, Song
Xu, Qian
Shi, Yu
Jia, Yu (ORCID Profile 0000-0001-9640-1666)
Xiang, Binbin
Wang, Yan
Yan, Yuefei

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