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...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/170191 |
| _version_ | 1824454510751252480 |
|---|---|
| author | Yu, Dewen Hu, Guobiao Cai, Saijie Yang, Yaowen Hong, Jun |
| 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 |
| author_sort | Yu, Dewen |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:23:28Z |
| format | Journal Article |
| id | ntu-10356/170191 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:23:28Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-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. |
| 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 |
| title | 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_short | Active optimization adjustment for the surface accuracy of spaceborne SAR antennas |
| title_sort | active optimization adjustment for the surface accuracy of spaceborne sar antennas |
| topic | Engineering::Civil engineering Active Adjustment Spaceborne Antenna |
| url | https://hdl.handle.net/10356/170191 |
| work_keys_str_mv | AT yudewen activeoptimizationadjustmentforthesurfaceaccuracyofspacebornesarantennas AT huguobiao activeoptimizationadjustmentforthesurfaceaccuracyofspacebornesarantennas AT caisaijie activeoptimizationadjustmentforthesurfaceaccuracyofspacebornesarantennas AT yangyaowen activeoptimizationadjustmentforthesurfaceaccuracyofspacebornesarantennas AT hongjun activeoptimizationadjustmentforthesurfaceaccuracyofspacebornesarantennas |