Active optimization adjustment for the surface accuracy of spaceborne SAR antennas

Inevitable disturbances in the spatial thermal environment will seriously degrade the surface accuracy of satellite antennas. Unfortunately, the ground pre-adjustment cannot adaptively guarantee the antenna performance under alternating thermal loadings. To tackle the challenge, this study proposes...

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Main Authors: Yu, Dewen, Hu, Guobiao, Cai, Saijie, Yang, Yaowen, Hong, Jun
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/170191
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1701912023-08-31T02:25:45Z Active optimization adjustment for the surface accuracy of spaceborne SAR antennas Yu, Dewen Hu, Guobiao Cai, Saijie Yang, Yaowen Hong, Jun School of Civil and Environmental Engineering Engineering::Civil engineering Active Adjustment Spaceborne Antenna Inevitable disturbances in the spatial thermal environment will seriously degrade the surface accuracy of satellite antennas. Unfortunately, the ground pre-adjustment cannot adaptively guarantee the antenna performance under alternating thermal loadings. To tackle the challenge, this study proposes an active optimization adjustment method to achieve the required surface accuracy for spaceborne antennas. Starting from the comprehensive analysis of external thermal fluxes in outer space, the heat transfer model is firstly established to acquire the temperature field of the antenna system. Subsequently, considering the thermoelastic effect and the geometrical nonlinearity, the antenna surface accuracy is predicted. In particular, the thermoelastic forces induced from temperature changes and dimensional deviations are precisely determined by the absolute nodal coordinate formulation. Moreover, an efficient computational method with invariant matrices is developed to accelerate the prediction. On this basis, we construct the on-orbit active adjustment model to compensate for the effect of thermally induced deformation on the surface accuracy. A mixed-variable optimization algorithm is further put forward to find the optimal strategy of dimensional adjustment. Finally, a case study with simulation analysis and experiment verification demonstrates the feasibility and superiority of the proposed surface adjustment method. This study is supported by the National Natural Science Foundation of China (Grant No. 2022YFB3304200). 2023-08-31T02:25:44Z 2023-08-31T02:25:44Z 2023 Journal Article Yu, D., Hu, G., Cai, S., Yang, Y. & Hong, J. (2023). Active optimization adjustment for the surface accuracy of spaceborne SAR antennas. Aerospace Science and Technology, 138, 108330-. https://dx.doi.org/10.1016/j.ast.2023.108330 1270-9638 https://hdl.handle.net/10356/170191 10.1016/j.ast.2023.108330 2-s2.0-85153053706 138 108330 en Aerospace Science and Technology © 2023 Elsevier Masson SAS. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Active Adjustment
Spaceborne Antenna
spellingShingle Engineering::Civil engineering
Active Adjustment
Spaceborne Antenna
Yu, Dewen
Hu, Guobiao
Cai, Saijie
Yang, Yaowen
Hong, Jun
Active optimization adjustment for the surface accuracy of spaceborne SAR antennas
description Inevitable disturbances in the spatial thermal environment will seriously degrade the surface accuracy of satellite antennas. Unfortunately, the ground pre-adjustment cannot adaptively guarantee the antenna performance under alternating thermal loadings. To tackle the challenge, this study proposes an active optimization adjustment method to achieve the required surface accuracy for spaceborne antennas. Starting from the comprehensive analysis of external thermal fluxes in outer space, the heat transfer model is firstly established to acquire the temperature field of the antenna system. Subsequently, considering the thermoelastic effect and the geometrical nonlinearity, the antenna surface accuracy is predicted. In particular, the thermoelastic forces induced from temperature changes and dimensional deviations are precisely determined by the absolute nodal coordinate formulation. Moreover, an efficient computational method with invariant matrices is developed to accelerate the prediction. On this basis, we construct the on-orbit active adjustment model to compensate for the effect of thermally induced deformation on the surface accuracy. A mixed-variable optimization algorithm is further put forward to find the optimal strategy of dimensional adjustment. Finally, a case study with simulation analysis and experiment verification demonstrates the feasibility and superiority of the proposed surface adjustment method.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Yu, Dewen
Hu, Guobiao
Cai, Saijie
Yang, Yaowen
Hong, Jun
format Article
author Yu, Dewen
Hu, Guobiao
Cai, Saijie
Yang, Yaowen
Hong, Jun
author_sort Yu, Dewen
title Active optimization adjustment for the surface accuracy of spaceborne SAR antennas
title_short Active optimization adjustment for the surface accuracy of spaceborne SAR antennas
title_full Active optimization adjustment for the surface accuracy of spaceborne SAR antennas
title_fullStr Active optimization adjustment for the surface accuracy of spaceborne SAR antennas
title_full_unstemmed Active optimization adjustment for the surface accuracy of spaceborne SAR antennas
title_sort active optimization adjustment for the surface accuracy of spaceborne sar antennas
publishDate 2023
url https://hdl.handle.net/10356/170191
_version_ 1779156768634437632