A closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis

Abstract

The present invention discloses a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis, which belongs to the optomechanical structure design of large-aperture optical lenses. It solves the problems of low efficiency and insufficient reliability of the traditional optomechanical structure optimization process. By establishing a parametric model of a large-aperture wedge prism and a supporting component, the parametric model is subjected to finite element analysis using a finite element method to obtain node displacement data; optical system parameter analysis is performed in combination with an optomechanical interface to obtain optical system parameters, and then closed-loop optimization is performed in combination with an optimization algorithm model to obtain optimal structural design parameters, thereby completing closed-loop optomechanical structure optimization based on optomechanical thermal integration analysis; the structural optimization method of the present invention adopts a closed-loop integrated optimization algorithm to analyze and feedback the structural parameters, so that the optimization results can be accurately converged to the optimization range, reducing a large amount of repetitive labor in manually transmitting analysis data, saving analysis time, and improving the optimization efficiency of the optomechanical structure while having good reliability.

Description

Technical Field

[0001] The present invention relates to a method for optimizing the optomechanical structure of a large-aperture optical lens, and in particular to a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis. Background Art

[0002] The core optical element of the TMT atmospheric dispersion corrector is a pair of 1.5m large-aperture wedge prisms. The optomechanical design of these large-aperture wedge prisms faces stringent constraints, requiring stable support and optical surface shape for the non-rotationally symmetric prisms under multi-dimensional motion and multi-physics influences. Large-aperture wedge prisms typically require multiple support points to distribute gravitational loads and reduce the forces at each support point. Therefore, quasi-kinematic or overconstrained support methods are often employed. The support structure is elastically coupled to the surrounding structure. When the surrounding structure deforms elastically, the supporting prisms also deform. These deformations are caused by the interaction forces between the support and the prisms. Different support schemes result in different force distributions. The position, direction, and magnitude of these forces inevitably affect the deformation of the optical surface. To minimize deformation of the prism's optical surface, the structure, position, and dimensions of the support must be carefully designed.

[0003] Usually, the transfer function of the optical system is affected by manually adjusting the size, position and connection method of each component in the optomechanical structure design to meet the index requirements. In the traditional optomechanical integration analysis process, each data update involves a large number of manual iterations, which is operated in an open-loop manner and is inefficient. Such a process usually requires relying on the designer's personal experience and multiple rounds of iterations. Only a single variable can be tried each time, which is very time-consuming. At the same time, it is difficult for humans to distinguish the influence of multi-parameter coupling in the system. All of these will affect the efficiency and reliability of the optimization design and are heavily dependent on the designer's professional knowledge. Summary of the Invention

[0004] The purpose of the present invention is to solve the technical problems of low efficiency and insufficient reliability in the traditional opto-mechanical structure optimization process, and to provide a closed-loop opto-mechanical structure optimization method based on opto-mechanical thermal integration analysis.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis is characterized in that it includes the following steps:

[0007] S1. Define the value space of the parameters for establishing a large-aperture wedge prism and its supporting components;

[0008] S2. randomly select values ​​in the value space and use 3D modeling software to establish a parametric model of the large-aperture wedge-shaped prism and the supporting assembly, and determine important structural parameters based on the parametric model of the large-aperture wedge-shaped prism and the supporting assembly;

[0009] S3. Establish a finite element model of the large-aperture wedge-shaped prism and its supporting components, and calculate the optical surface deformation and nodal displacement data under mechanical and thermal coupling conditions by combining important structural parameters. Rigid body displacement removal and optical surface fitting are performed on the nodal displacement data to obtain the root mean square value of the optical surface elastic deformation and the various Zernike coefficients that constitute the root mean square value.

[0010] S4. Establish an optical model of a large-aperture wedge prism using optical design software, input various Zernike coefficients into the optical model of the large-aperture wedge prism, and calculate the transfer function data of the large-aperture wedge prism;

[0011] S5. Use the Latin hypercube experimental design method to analyze the important structural parameters in S2 and the transfer function data in S4, establish the sensitivity relationship between the important structural parameters and the transfer function data, and select multiple structural parameters that have the greatest impact on the transfer function;

[0012] S6. Taking multiple structural parameters that have the greatest impact on the transfer function as input variables and the transfer function data of the large-aperture wedge prism as output responses, an optimization algorithm model for the large-aperture wedge prism and the supporting assembly is established, and the number of iterations n is set; in the value space of the established large-aperture wedge prism and the supporting assembly parameters, the input variables are respectively taken, and the transfer function data of the large-aperture wedge prism with this group of values ​​is calculated through S2-S4, and the structural parameter combination corresponding to the maximum transfer function data of the large-aperture wedge prism is found through cyclic iteration of the optimization algorithm model, and the optomechanical structure of the large-aperture wedge prism and the supporting assembly is designed according to the structural parameter combination, completing the closed-loop optomechanical structure optimization based on optomechanical thermal integration analysis.

[0013] Furthermore, in S2, the important structural parameters include: thickness, width, curvature, radial position, and axial position of the support component that is in direct contact with the large-aperture wedge-shaped prism.

[0014] Furthermore, in S3, the finite element model of the large-aperture wedge-shaped prism and the supporting assembly is established as follows:

[0015] S3a, inputting the parametric model and important structural parameters of the large-aperture wedge-shaped prism and the supporting component into the finite element software, and assigning materials and setting material properties to the large-aperture wedge-shaped prism and the supporting component;

[0016] S3b. Setting boundary conditions for the parameterized model of the large-aperture wedge-shaped prism and the supporting assembly according to actual working conditions, and setting contact types for the large-aperture wedge-shaped prism and the supporting assembly;

[0017] S3c. Divide the large-aperture wedge-shaped prism and the supporting assembly into grids according to their shapes and sizes, and obtain a finite element model of the large-aperture wedge-shaped prism and the supporting assembly.

[0018] Furthermore, in S3a, the material properties include material thermal performance parameters and mechanical performance parameters; the material thermal performance parameters include thermal conductivity, heat exchange coefficient, and thermal expansion coefficient, and the mechanical performance parameters include density, Young's modulus, and Poisson's ratio.

[0019] Furthermore, in S3:

[0020] The optical surface deformation under the mechanical and thermal coupling condition includes the optical surface deformation of the prism under the thermal environment boundary condition and the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles under 1g gravity;

[0021] The optical surface deformation and node displacement data calculated under the mechanical and thermal coupling conditions by combining important structural parameters are specifically:

[0022] Apply thermal environment boundary conditions and gravity load models to the finite element model of the large-aperture wedge-shaped prism and its supporting components;

[0023] The thermal environment boundary condition is 2°C to 42°C, and the initial environment temperature is set to room temperature. The finite element model of the large-aperture wedge prism and the supporting assembly is calculated to calculate the optical surface deformation of the prism when the initial environment temperature is transferred to 2°C and 42°C respectively.

[0024] The gravity load model is a gravity acceleration of 1g, and the finite element model of the large-aperture wedge prism and the supporting assembly is combined to calculate the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles;

[0025] The optical surface deformation of the prism when the initial ambient temperature is changed to 2℃ and 42℃ and the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles are linearly superimposed to obtain the node displacement data.

[0026] Furthermore, the node displacement data in S3 is subjected to rigid body displacement removal and optical surface fitting to obtain the root mean square value of the elastic deformation of the optical surface and the various Zernike coefficients constituting the root mean square value, which are specifically:

[0027] The homogeneous coordinate transformation method is used to separate the rigid body displacement data from the node displacement data. The rigid body displacement data is removed to obtain the elastic deformation data of the optical surface. The Zernike polynomial is used as the optical-mechanical interface to perform polynomial fitting on the elastic deformation data of the optical surface to obtain the root mean square value of the optical surface deformation and the various Zernike coefficients that constitute the root mean square value.

[0028] Furthermore, the establishment of the sensitivity relationship between the important structural parameters and the transfer function data and the screening of multiple structural parameters with the greatest influence on the transfer function as described in S5 are specifically as follows: sampling the important structural parameters and the transfer function data, establishing a multivariate quadratic regression model based on the sample points obtained by the sampling, performing statistical tests and regression analysis, the coefficients of the regression model represent the influence of the important structural parameters on the transfer function data, sorting the coefficients of the regression model from large to small, and selecting the important structural parameters corresponding to the 5 larger coefficients in the regression model as the structural parameters with the greatest influence on the transfer function.

[0029] Furthermore, the optimization algorithm model in S6 is one of a multi-island genetic algorithm model, a particle swarm optimization algorithm model and a simulated annealing algorithm model.

[0030] The beneficial effects of the present invention are:

[0031] 1) The present invention provides a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis. This method uses a closed-loop integrated optimization algorithm to analyze and provide feedback on structural parameters, enabling the optimization results to accurately converge within the optimization interval. This reduces the repetitive labor of manually transferring analysis data, saves analysis time, and improves the optimization efficiency of the optomechanical structure while also providing excellent reliability.

[0032] 2) This invention proposes a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis. This method calculates the transfer function data of a large-aperture wedge prism based on the Zernike coefficients that constitute the root mean square value of optical surface deformation, and selects the structural parameters that have the greatest impact on the transfer function, thereby improving optimization reliability.

[0033] 3) The present invention provides a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis. This method ranks multiple structural parameters according to their influence on the optical system transfer function, identifies the structural parameters with the greatest influence on the optical system, and enables simultaneous optimization of multiple structural parameters.

[0034] 4) The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis of the present invention can be used to solve optomechanical structure optimization design problems under other complex conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a flowchart of loop iteration through the optimization algorithm model in Example S6 of a closed-loop opto-mechanical structure optimization method based on opto-mechanical thermal integration analysis of the present invention;

[0036] Figure 2 This is a structural diagram of the parameterized model of the large-aperture wedge-shaped prism and its supporting assembly established in Example S2 of a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis of the present invention;

[0037] Among them, (a) represents the front view, (b) represents the left view;

[0038] Figure 3 A sensitivity diagram between important structural parameters and transfer function data in S4 of an embodiment of a closed-loop opto-mechanical structure optimization method based on opto-mechanical thermal integration analysis of the present invention;

[0039] Figure 4 This is a distribution diagram of the root mean square value of optical surface deformation when a large-aperture wedge-shaped prism and a supporting assembly are loaded with a gravity acceleration of 1g without adopting the present invention;

[0040] Figure 5 The figure shows the root mean square value distribution of the optical surface deformation when a large-aperture wedge-shaped prism and a supporting assembly are loaded with a gravitational acceleration of 1g, when an embodiment of the closed-loop opto-mechanical structure optimization method based on opto-mechanical thermal integration analysis of the present invention is adopted. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings and embodiments. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] Example 1

[0043] In this embodiment, a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis is proposed. It is aimed at the optomechanical structure optimization problem of large-aperture non-rotationally symmetric wedge prisms under complex multi-dimensional motion. It improves the traditional integrated analysis optimization method. By integrating and closing the traditional optomechanical structure analysis process, the efficiency and reliability of optomechanical structure optimization are improved. Figure 1 As shown in the figure, by establishing a parametric model of a large-aperture wedge prism and supporting components, the finite element method is used to perform finite element analysis on the parametric model to obtain the node displacement data; the optical system parameters are analyzed in combination with the optomechanical interface to obtain the optical system parameters, and then the closed-loop optimization is performed in combination with the optimization algorithm model to obtain the structural design parameters, thus completing the closed-loop optomechanical structure optimization based on optomechanical thermal integration analysis.

[0044] In this embodiment, a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis includes the following steps:

[0045] S1. Define the value space of the parameters for establishing a large-aperture wedge prism and its supporting components;

[0046] S2. Randomly select values ​​in the value space and use 3D modeling software to establish a parametric model of the large-aperture wedge prism and its supporting components, and determine important structural parameters based on the parametric model of the large-aperture wedge prism and its supporting components; including: the thickness t and width w of the supporting components that are in direct contact with the large-aperture wedge prism 1-6 、w 3-4 radians α 1-6 , α 2-5 , α 3-4 Radial position β1, β2, β3 axial position d 1-6 d 2-5 d 3-4 The obtained parameterized model of large aperture wedge prism and supporting components is as follows: Figure 2 shown.

[0047] S3. Establish a finite element model of the large-aperture wedge-shaped prism and its supporting components, specifically:

[0048] The parametric model and important structural parameters of the large-aperture wedge-shaped prism and its supporting assembly are input into the finite element software. Materials are assigned to the large-aperture wedge-shaped prism and its supporting assembly, and material properties are set. The prism material is fused quartz, and the material of the supporting pad in direct contact with the prism is polytetrafluoroethylene (PTFE). The material properties include thermal performance parameters and mechanical performance parameters. The thermal performance parameters include thermal conductivity, heat exchange coefficient, and thermal expansion coefficient, and the mechanical performance parameters include density, Young's modulus, and Poisson's ratio.

[0049] According to the actual working conditions, boundary conditions are set for the parametric model of the large-aperture wedge prism and the supporting assembly, and the contact type is set for the large-aperture wedge prism and the supporting assembly; according to the shape and size of the large-aperture wedge prism and the supporting assembly, the large-aperture wedge prism and the supporting assembly are meshed to obtain a finite element model of the large-aperture wedge prism and the supporting assembly.

[0050] Boundary conditions: Constrain the radial, axial, and tangential degrees of freedom of the component during 1g gravity analysis. Contact type: The support pad and prism are bonded.

[0051] The optical surface deformation and node displacement data under mechanical and thermal coupling conditions are calculated by combining important structural parameters, specifically:

[0052] Apply thermal environment boundary conditions and gravity load models to the finite element model of the large-aperture wedge-shaped prism and its supporting components;

[0053] The thermal environment boundary conditions are 2°C to 42°C. The initial ambient temperature is set to room temperature. The finite element model of the large-aperture wedge prism and its supporting assembly is calculated when the initial ambient temperature is changed to 2°C and 42°C. The deformation of the prism optical surface is output as a T.txt file.

[0054] The gravity load model is a 1g gravity acceleration. Combined with the finite element model of the large-aperture wedge prism and the supporting assembly, the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles is calculated and output as a G.txt file.

[0055] The optical surface deformation of the prism when the initial ambient temperature is changed to 2℃ and 42℃ and the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles are linearly superimposed to obtain the node displacement data.

[0056] The homogeneous coordinate transformation method is used to separate the rigid body displacement data from the node displacement data of the finite element analysis. The rigid body displacement data is removed to obtain the elastic deformation data of the optical surface. The Zernike polynomial is used as the optical-mechanical interface to perform polynomial fitting on the elastic deformation data of the optical surface to obtain the root mean square value of the optical surface deformation and the various Zernike coefficients that constitute the root mean square value.

[0057] S4. Establish an optical model of a large-aperture wedge prism using optical design software, input various Zernike coefficients into the optical model of the large-aperture wedge prism, and calculate the transfer function data of the large-aperture wedge prism;

[0058] S5. Use the Latin hypercube experimental design method to analyze the important structural parameters in S1 and the transfer function data in S3, and establish the sensitivity relationship between the important structural parameters and the transfer function data: sample the important structural parameters and transfer function data, establish a multivariate quadratic regression model based on the sample points obtained by sampling, and perform statistical tests and regression analysis. The coefficients of the regression model represent the influence of the important structural parameters on the transfer function data. Sort the coefficients of the regression model from large to small, and select the important structural parameters corresponding to the 5 larger regression model coefficients as the structural parameters with the greatest influence on the transfer function.

[0059] Figure 3 The sensitivity map is based on Figure 2 The parameters listed in the figure are used as input variables, and the optical system transfer function is used as the output. Experimental design methods are used to calculate the degree of influence of the input parameters on the output. The horizontal axis shows the input parameters, and the vertical axis shows the degree of influence of each input parameter on the transfer function. The higher the bar, the greater the influence. Blue represents a positive influence, and red represents a negative influence.

[0060] according to Figure 3 It can be seen that the structure and position parameters of the support pad have different effects on the transfer function, among which the thickness of the support pad has the greatest influence on the transfer function. Figure 3 Arrange the first 5 structural parameters from right to left in step S6.

[0061] S6. Taking the five structural parameters that have the greatest impact on the transfer function as input variables and the transfer function data of the large-aperture wedge prism as the output response, a particle swarm algorithm model of the large-aperture wedge prism and the supporting assembly is established, and the number of iterations is set to 150; within the value space of the established large-aperture wedge prism and the supporting assembly parameters, the input variables are respectively taken, and the transfer function data of the large-aperture wedge prism with this group of values ​​is calculated through S2-S4. The structural parameter combination corresponding to the maximum transfer function data of the large-aperture wedge prism is found through cyclic iteration of the optimization algorithm model. The optomechanical structure of the large-aperture wedge prism and the supporting assembly is designed according to the structural parameter combination, and the closed-loop optomechanical structure optimization based on optomechanical thermal integration analysis is completed.

[0062] In this embodiment, n is set to 150. The optimal solution obtained in this example is shown in Table 1.

[0063] Table 1

[0064] t <![CDATA[β 1-6 ]]> <![CDATA[w 1-6 ]]> <![CDATA[β3]]> <![CDATA[d 3-4 ]]> 25mm 32.3° 23.5mm 43.2° 86.2mm

[0065] The input variables of the optimization algorithm take different values ​​within their respective value ranges, generating n sets of parameter combinations of the input variables, and obtaining n sets of transfer function data through calculation. The combination of structural parameter values ​​corresponding to the maximum value of the transfer function data is used as the optimal parameters of the closed-loop optomechanical structure based on optomechanical thermal integration analysis. In this embodiment, various parameters for controlling the optimization process are set for the optomechanical structure optimization problem, and optimization is performed within the input parameter space, so that the optical system obtains the optimal transfer function under various restrictive conditions.

[0066] The root mean square (RMS) value of the optical surface deformation under 1g gravity acceleration before optimization using the method of this embodiment is as follows: Figure 4 shown.

[0067] The root mean square (RMS) value of the optical surface deformation under 1g gravity acceleration after optimization using the method of this embodiment is as follows: Figure 5 shown.

[0068] contrast Figure 4 and Figure 5 It can be seen that after optimization, the optical surface deformation is smaller than before optimization (compared to Figure 4 and Figure 5 The scale size is known).

[0069] In this embodiment, for an optomechanical structure optimization requirement, after a closed-loop process is established according to the closed-loop optimization method, the optimization algorithm plans the optimization path and drives the entire process to run automatically, saving human labor time. In addition, the machine can run continuously without rest, which can improve the optimization efficiency. For complex multi-parameter optimization, it is difficult for the human brain to find the optimization rules based on experience and cannot handle complex multi-parameter optimization problems. Manual optimization requires continuous operation of the computer and continuous updating of models and data, which is slow and involves a lot of repetitive work.

[0070] The above description is merely a specific embodiment of the present invention, and a comparison of the effects of the specific embodiment with the relevant comparative examples. However, the scope of protection of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present invention shall be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be based on the scope of protection of the claims.

Claims

1. A closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis, characterized in that: The following steps are involved: S1. Define the value space of the parameters for establishing a large-aperture wedge prism and its supporting components; S2. randomly select values ​​in the value space and use 3D modeling software to establish a parametric model of the large-aperture wedge-shaped prism and the supporting assembly, and determine important structural parameters based on the parametric model of the large-aperture wedge-shaped prism and the supporting assembly; S3. Establish a finite element model of the large-aperture wedge-shaped prism and its supporting components, and calculate the optical surface deformation and nodal displacement data under mechanical and thermal coupling conditions by combining important structural parameters. Rigid body displacement removal and optical surface fitting are performed on the nodal displacement data to obtain the root mean square value of the optical surface elastic deformation and the various Zernike coefficients that constitute the root mean square value. S4. Establish an optical model of a large-aperture wedge prism using optical design software, input various Zernike coefficients into the optical model of the large-aperture wedge prism, and calculate the transfer function data of the large-aperture wedge prism; S5. Use the Latin hypercube experimental design method to analyze the important structural parameters in S2 and the transfer function data in S4, establish the sensitivity relationship between the important structural parameters and the transfer function data, and select multiple structural parameters that have the greatest impact on the transfer function; S6. Taking multiple structural parameters that have the greatest impact on the transfer function as input variables and the transfer function data of the large-aperture wedge prism as output responses, an optimization algorithm model for the large-aperture wedge prism and the supporting assembly is established, and the number of iterations n is set; in the value space of the established large-aperture wedge prism and the supporting assembly parameters, the input variables are respectively taken, and the transfer function data of the large-aperture wedge prism with this group of values ​​is calculated through S2-S4. The optimization algorithm model is iterated n times to find the structural parameter combination corresponding to the maximum transfer function data obtained in S4, and the optomechanical structure of the large-aperture wedge prism and the supporting assembly is designed according to the structural parameter combination, completing the closed-loop optomechanical structure optimization based on optomechanical thermal integration analysis.

2. The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to claim 1, characterized in that: In S2, the important structural parameters include: the thickness, width, curvature, radial position, and axial position of the support component that is in direct contact with the large-aperture wedge-shaped prism.

3. The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to claim 1, characterized in that: In S3, the finite element model of the large-aperture wedge-shaped prism and the supporting assembly is established as follows: S3a, inputting the parametric model and important structural parameters of the large-aperture wedge-shaped prism and the supporting component into the finite element software, and assigning materials and setting material properties to the large-aperture wedge-shaped prism and the supporting component; S3b. Setting boundary conditions for the parameterized model of the large-aperture wedge-shaped prism and the supporting assembly according to actual working conditions, and setting contact types for the large-aperture wedge-shaped prism and the supporting assembly; S3c. Divide the large-aperture wedge-shaped prism and the supporting assembly into grids according to their shapes and sizes, and obtain a finite element model of the large-aperture wedge-shaped prism and the supporting assembly.

4. The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to claim 3, characterized in that: In S3a, the material properties include material thermal performance parameters and mechanical performance parameters; the material thermal performance parameters include thermal conductivity, heat exchange coefficient, and thermal expansion coefficient, and the mechanical performance parameters include density, Young's modulus, and Poisson's ratio.

5. The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to claim 1, characterized in that: In S3: The optical surface deformation under the mechanical and thermal coupling condition includes the optical surface deformation of the prism under the thermal environment boundary condition and the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles under the influence of gravity; The optical surface deformation and node displacement data calculated under the mechanical and thermal coupling conditions by combining important structural parameters are specifically: Apply thermal environment boundary conditions and gravity load models to the finite element model of the large-aperture wedge-shaped prism and its supporting components; The thermal environment boundary condition is 2°C to 42°C, and the initial environment temperature is set to room temperature. The finite element model of the large-aperture wedge prism and the supporting assembly is calculated to calculate the optical surface deformation of the prism when the initial environment temperature is transferred to 2°C and 42°C respectively. The gravity load model is a gravity acceleration of 1g, and the finite element model of the large-aperture wedge prism and the supporting assembly is combined to calculate the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles; The optical surface deformation of the prism when the initial ambient temperature is changed to 2℃ and 42℃ and the optical surface node deformation of the non-rotationally symmetric prism at different rotation angles under 1g gravity are linearly superimposed to obtain the node displacement data.

6. A closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to any one of claims 1 to 5, characterized in that: The node displacement data in S3 is subjected to rigid body displacement removal and optical surface fitting to obtain the root mean square value of the elastic deformation of the optical surface and the various Zernike coefficients constituting the root mean square value: The homogeneous coordinate transformation method is used to separate the rigid body displacement data from the node displacement data. The rigid body displacement data is removed to obtain the elastic deformation data of the optical surface. The Zernike polynomial is used as the optical-mechanical interface to perform polynomial fitting on the elastic deformation data of the optical surface to obtain the root mean square value of the optical surface deformation and the various Zernike coefficients that constitute the root mean square value.

7. The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to claim 1, characterized in that: The establishment of the sensitivity relationship between important structural parameters and transfer function data and the screening of multiple structural parameters with the greatest impact on the transfer function as described in S5 are specifically as follows: sampling the important structural parameters and transfer function data, establishing a multivariate quadratic regression model based on the sample points obtained by sampling, performing statistical tests and regression analysis, the coefficients of the regression model represent the influence of the important structural parameters on the transfer function data, sorting the coefficients of the regression model from large to small, and selecting the important structural parameters corresponding to the 5 larger coefficients in the regression model as the structural parameters with the greatest impact on the transfer function.

8. The closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis according to claim 1, characterized in that: S6: The optimization algorithm model described in the above is one of a multi-island genetic algorithm model, a particle swarm algorithm model and a simulated annealing algorithm model.

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