| A method of simulation was always adopted in the course of optical remote sensor structure design in order to shorten design cycle and reduce costs. This paper designed a simulation analysis about optical remote sensor structure, which make use of finite element software (ANSYS) based on finite element basic theory, and verified the scheme that was feasible and reasonable. This paper introduced the analysis method and ordinary course of modern optical-mechanical system, and summarized mechanics and thermal environment where the remote sensor undergo in the course of carrying and work, and confirmed the evaluation index of system response. A finite element model which applied to simulation analysis in this paper was built with ANSYS software.The primary mirror was a major component in optical system, which demanded high face form precision. This paper analyzed the primary mirror deformation in three different working conditions, such as micro-gravity experiment, temperature and heating-mechanic coupling. And then the author write MATLAB program which be used to process data of face form node deformation, and calculate the deformed surface mirror values of PV and RMS. A series of analysis was done, such as Modal, Harmonic, Transient and Spectrum, which be aimed at the remote sensor opt-mechanical structure on the basis of experiment load data. These response data that were obtained from the model action on a variety of load are analyzed, which could study and observe the ability of remote sensor that undergo various dynamics environment from the view of dynamic environment, and the design scheme was evaluated from structure performance.The simulation results indicated that the structure design scheme of remote sensor had adequate intensity and rigidity, and each index was within the limits of permission, and it was clear that the scheme of this paper was reasonable and feasible. In the meantime, the results provided a scientific foundation that could choose reasonable design parameters and structure scheme for further optimization and thermal control. |