Closed-loop optical-mechanical structure optimization method based on optical-mechanical heat integration analysis

Abstract

The invention discloses a closed-loop optical-mechanical structure optimization method based on optical-mechanical heat integration analysis, belongs to large-aperture optical lens optical-mechanical structure design, and solves the problems of low efficiency and insufficient reliability in the traditional optical-mechanical structure optimization process. Performing finite element analysis on the parameterized model by adopting a finite element method to obtain node displacement data; performing optical system parameter analysis in combination with an optical-mechanical interface to obtain optical system parameters, performing closed-loop optimization in combination with an optimization algorithm model to obtain optimal structure design parameters, and completing closed-loop optical-mechanical structure optimization based on optical-mechanical heat integration analysis; according to the structure optimization method, the closed-loop integrated optimization algorithm is adopted to analyze and feed back the structure parameters, the optimization result can be accurately converged into the optimization interval, a large amount of repeated labor for manually transmitting analysis data is reduced, the analysis time is saved, the optimization efficiency of the optical-mechanical structure is improved, and meanwhile the reliability is good.

Description

Technical Field

[0001] The present invention belongs to a method for optimizing the optomechanical structure of a large-aperture optical lens, and specifically relates 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 large-aperture wedge prisms faces stringent constraints, which require the stable support and optical surface shape of non-rotationally symmetric prisms under the influence of multi-dimensional motion and multi-physical fields. Large-aperture wedge prisms usually require multiple support points to distribute the gravity load and reduce the force at each support point. Therefore, quasi-kinematic or over-constrained support methods are usually adopted. The support structure is elastically coupled with the surrounding structure. When the surrounding structure undergoes elastic deformation, the supporting prism will also deform. These deformations are caused by the interaction force between the bracket and the prism. Different support schemes lead to different force distributions. The position, direction and magnitude of these forces inevitably affect the deformation of the optical surface. In order to minimize the deformation of the optical surface of the prism, the structure, position and size of the bracket 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 part 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, and only a single variable can be tried each time, which takes a lot of time. At the same time, it is difficult to distinguish the multi-parameter coupling effects in the system. 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 optomechanical structure optimization process, and to provide a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis.

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

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

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

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

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

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

[0011] S5. Use 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 with the greatest impact on the transfer function;

[0012] S6. Taking multiple structural parameters with the greatest influence on the transfer function as input variables and the transfer function data of the large-aperture wedge prism as output response, an optimization algorithm model of the large-aperture wedge prism and supporting components is established, and the number of iterations n is set; in the value space of the parameters of the large-aperture wedge prism and supporting components, the input variables are respectively taken values, 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 the optimization algorithm model through cyclic iteration, and the optomechanical structure of the large-aperture wedge prism and supporting components is designed according to the structural parameter combination, and the closed-loop optomechanical structure optimization based on optomechanical thermal integration analysis is completed.

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

[0014] Further, 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 use 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, the initial environment temperature is set to room temperature, and the finite element model of the large-aperture wedge-shaped prism and the supporting assembly is calculated to respectively calculate the optical surface deformation of the prism when the initial environment temperature is transferred to 2°C and 42°C environments;

[0024] The gravity load model is a gravity acceleration of 1g, and the finite element model of the large-aperture wedge-shaped 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 deformation of the prism optical surface at the initial ambient temperature of 2°C and 42°C and the deformation of the optical surface nodes 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 rigid body displacement data in the node displacement data is separated by the homogeneous coordinate transformation method. 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 impact on the transfer function 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, the coefficients of the regression model are sorted from large to small, and the important structural parameters corresponding to the 5 larger coefficients in the regression model are selected as the structural parameters with the greatest impact on the transfer function.

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

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

[0031] 1) The invention discloses a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis, which adopts a closed-loop integrated optimization algorithm to analyze and feedback structural parameters, and can make the optimization results accurately converge to the optimization interval, thereby reducing a large amount of repetitive labor of manually transmitting analysis data, saving analysis time, improving the optimization efficiency of the optomechanical structure, and having good reliability;

[0032] 2) A closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis of the present invention calculates the transfer function data of a large-aperture wedge-shaped prism according to various Zernike coefficients constituting the root mean square value of the optical surface deformation, and selects the structural parameters that have the greatest influence on the transfer function, thereby improving the optimization reliability;

[0033] 3) A closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis of the present invention ranks multiple structural parameters according to their influence on the optical system transfer function, identifies the structural parameters with greater influence on the optical system, and can optimize multiple structural parameters simultaneously;

[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 It is a flow chart of loop iteration through the optimization algorithm model in Example S6 of a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis of the present invention;

[0036] Figure 2 It is a structural diagram of a parameterized model of a large-aperture wedge-shaped prism and a 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 optomechanical structure optimization method based on optomechanical 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 diagram 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 gravitational acceleration of 1g in the case of adopting an embodiment of a closed-loop optomechanical structure optimization method based on optomechanical thermal integration analysis of the present invention. DETAILED DESCRIPTION

[0041] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work 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 used to solve 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 and improves the efficiency and reliability of optomechanical structure optimization by integrating and closing the traditional optomechanical structure analysis process. Figure 1 As shown, by establishing a parametric model of a large-aperture wedge-shaped 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 parameter analysis is performed 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 of the large-aperture wedge-shaped prism and the supporting components;

[0046] S2. Randomly select values ​​in the value space and use 3D modeling software to establish a parametric model of a large-aperture wedge prism and a supporting component, and determine important structural parameters based on the parametric model of the large-aperture wedge prism and a supporting component; including: the thickness t and width w of the supporting component 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 the large-aperture wedge-shaped prism and its supporting components is shown in Figure 2 shown.

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

[0048] The parametric model and important structural parameters of the large-aperture wedge-shaped prism and its supporting components are input into the finite element software, and materials are assigned to the large-aperture wedge-shaped prism and its supporting components, 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 material thermal performance parameters and mechanical performance parameters. The material thermal performance parameters include thermal conductivity, heat exchange coefficient, and thermal expansion coefficient. 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 parameterized 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 freedom of the component in radial, axial and tangential directions in 1g gravity analysis. Contact type: The support pad and the prism are bonded.

[0051] Combined with important structural parameters, the optical surface deformation and node displacement data under mechanical and thermal coupling conditions are calculated, 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℃~42℃, and the initial environment temperature is set to room temperature. The finite element model of the large-aperture wedge-shaped prism and the supporting assembly is calculated when the initial environment temperature is transferred to 2℃ and 42℃ environments, and the prism optical surface deformation is output as a T.txt file.

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

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

[0056] The rigid body displacement data in the node displacement data of finite element analysis is separated by homogeneous coordinate transformation method. 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-shaped prism through optical design software, input various Zernike coefficients into the optical model of the large-aperture wedge-shaped prism, and calculate the transmission function data of the large-aperture wedge-shaped 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 output. The input parameters are calculated by the experimental design method to rank the degree of influence on the output. The horizontal axis is the input parameters, and the vertical axis is the degree of influence of each input parameter on the transfer function. The higher the bar graph, the greater the influence. Blue represents positive influence, and red represents 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 five structural parameters from right to left in S6.

[0061] S6. Taking the five structural parameters with the greatest influence 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; in the value space of the parameters of the large-aperture wedge prism and the supporting assembly, 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 the optimization algorithm model through cyclic iteration, and 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 150, and 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 groups of parameter combinations of the input variables, and obtaining n groups of transfer function data through calculation, wherein 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, for the optomechanical structure optimization problem, various parameters for controlling the optimization process are set, and optimization is performed in the input parameter space, so that the optical system obtains the optimal transfer function under a variety of restriction conditions.

[0066] The root mean square (RMS) value of the optical surface deformation under 1g gravity acceleration before optimization by 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 by 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 ruler size is known).

[0069] In this embodiment, for an optomechanical structure optimization requirement, after a closed-loop process is built 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, and 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 it is unable to handle complex multi-parameter optimization problems; manual optimization requires constant operation of the computer and constant updating of models and data, which is slow and involves a lot of repetitive work.

[0070] The above description is only a specific embodiment of the present invention, and a comparison of the effects of the specific embodiments and the related comparative examples, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope 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 of the large-aperture wedge-shaped prism and the supporting components; S2. Randomly select values ​​in the value space and use three-dimensional modeling software to establish a parametric model of the large-aperture wedge-shaped prism and the supporting component, and determine important structural parameters based on the parametric model of the large-aperture wedge-shaped prism and the supporting component; S3. Establish a finite element model of a large-aperture wedge-shaped prism and supporting components, and calculate the optical surface deformation and node displacement data under mechanical and thermal coupling conditions in combination with important structural parameters. Perform rigid body displacement removal and optical surface fitting on the node displacement data to obtain the root mean square value of the elastic deformation of the optical surface and the various Zernike coefficients that constitute the root mean square value. S4. Establish an optical model of a large-aperture wedge-shaped prism through optical design software, input various Zernike coefficients into the optical model of the large-aperture wedge-shaped prism, and calculate the transmission function data of the large-aperture wedge-shaped prism; S5. Use 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 with the greatest impact on the transfer function; S6. Taking multiple structural parameters with the greatest influence on the transfer function as input variables and the transfer function data of the large-aperture wedge prism as output response, an optimization algorithm model of the large-aperture wedge prism and supporting components is established, and the number of iterations n is set; in the value space of the parameters of the large-aperture wedge prism and supporting components, 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 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 supporting components is designed according to the structural parameter combination, so as to complete 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 use 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, the initial environment temperature is set to room temperature, and the finite element model of the large-aperture wedge-shaped prism and the supporting assembly is calculated to respectively calculate the optical surface deformation of the prism when the initial environment temperature is transferred to 2°C and 42°C environments; The gravity load model is a gravity acceleration of 1g, and the finite element model of the large-aperture wedge-shaped 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 deformation of the prism optical surface at the initial ambient temperature of 2°C and 42°C and the deformation of the optical surface nodes 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 rigid body displacement data in the node displacement data is separated by the homogeneous coordinate transformation method. 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 the important structural parameters and the 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 the 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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