Paper
27 January 2009 Optimization design for the supporting system of 2m telescope primary mirror
Fu Zhao, Ping Wang, Yanjue Gong, Li Zhang, Jianlong Lin
Author Affiliations +
Abstract
This paper describes the optimization solution improving the total quality of the primary mirror supporting type. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters in primary mirror supporting type and the deformation of the primary mirror is built. With this relationship and Genetic Algorithm(GA) optimization design, a group of reasonable technology parameters is found that can improve the static stiffness of the primary mirror supporting type so as to reduce the gravity deformation of the primary mirror. The modal analysis and random vibration analysis are also discussed in detail, and the results indicate that the dynamic stiffness of the primary mirror supporting type is also improved.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fu Zhao, Ping Wang, Yanjue Gong, Li Zhang, and Jianlong Lin "Optimization design for the supporting system of 2m telescope primary mirror", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 71561T (27 January 2009); https://doi.org/10.1117/12.806704
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Cited by 4 scholarly publications.
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KEYWORDS
Mirrors

Neural networks

Optimization (mathematics)

Finite element methods

Telescopes

Modal analysis

Genetic algorithms

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