论文信息 - Optimization of a segmented mirror with a global radius of curvature actuation system based on multi-fidelity surrogates

Optimization of a segmented mirror with a global radius of curvature actuation system based on multi-fidelity surrogates

Abstract Separately-polished segmented mirrors hardly meet the co-phasing surface shape error due to the fabrication difficulties. Therefore, some space-based segmented telescope system such as the James Webb Space Telescope (JWST) uses the global radius of curvature (GRoC) actuation system as an effective solution. A segmented mirror with a GRoC actuation system was optimized in this paper. The high-precision finite element model (FEM) usually has low computational efficiency, and the low-precision finite element model cannot guarantee calculation accuracy. In order to alleviate the conflict between computational cost and calculation accuracy in the optimization of a segmented mirror, multi-fidelity surrogates (MFS) based on sensitivity analysis were proposed. The surrogates were then optimized through the multi-island genetic algorithm (MIGA), and the segmented mirror produces 0.0623λ (λ = 632.8) surface shape error RMS per 1 mm of GRoC is corrected, which met the design requirement. Besides, it can also be deployed to solve other complicated engineering problems.

Shuyan Xu | Songhang Wu | Jihong Dong | Zhirong Lu | Boqian Xu

[1] Xiaofeng Liu,et al. A Back Propagation neural network based optimizing model of space-based large mirror structure , 2019, Optik.

[2] D. Scott Acton,et al. Aligning and maintaining the optics for the James Webb Space Telescope (JWST) on-orbit: the wavefront sensing and control concept of operations , 2006, SPIE Astronomical Telescopes + Instrumentation.

[3] P. Bely. The Design and Construction of Large Optical Telescopes , 2010 .

[4] James B. Hadaway,et al. The optical metrology system for cryogenic testing of the JWST primary mirror segments , 2011, Optical Engineering + Applications.

[5] Hakjin Lee,et al. Surrogate model based design optimization of multiple wing sails considering flow interaction effect , 2016 .

[6] Hao Lu,et al. A Novel Method Based on Multi-Island Genetic Algorithm Improved Variational Mode Decomposition and Multi-Features for Fault Diagnosis of Rolling Bearing , 2020, Entropy.

[7] Zhongbing Liu,et al. Performance analysis of two-stage thermoelectric generator model based on Latin hypercube sampling , 2020 .

[8] Takafumi Koseki,et al. Multifidelity Surrogate Assisted Rapid Design of Transverse-Flux Permanent Magnet Linear Synchronous Motor , 2020, IEEE Transactions on Industrial Electronics.