Optical data processing method of illuminating lamp for deep space exploration

Abstract

The invention relates to an optical data processing method of an illuminating lamp for deep space exploration, which comprises the following steps of: acquiring working environment parameters of a lens system of the illuminating lamp for deep space exploration and stress light effect test data of a lens material under different extremely low temperature conditions; incident light beams in different polarization states are simulated and calculated; optimizing a lens material and a coating scheme of the lens system of the deep space exploration illuminating lamp; a liquid crystal variable transmittance device is installed on each lens unit of a lens system of the deep space exploration illuminating lamp, and the transmittance of each lens unit is adjusted in real time; training the historical ideal illumination light intensity distribution data by adopting a neural network algorithm; monitoring the environment temperature of the lens material in real time; and the working process of the deep space detection illuminating lamp is continuously monitored. Through continuous monitoring and data collection, the control system is continuously optimized, the working stability and the lighting effect of the deep space exploration lighting lamp in an extreme environment are improved, and a reliable lighting guarantee is provided for a deep space exploration task.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to an optical data processing method for a lighting lamp used in deep space exploration. Background Art

[0002] In deep space exploration missions, the lens system of the lighting lamp faces the challenge of extremely low temperature environments. Under such conditions, the stress-optic effect of the lens material will change significantly, resulting in unpredictable effects on the birefringence characteristics of the material. This birefringence effect will change the polarization state of the transmitted light beam, thereby affecting the distribution of the illumination light intensity. In order to obtain an ideal illumination effect, it is necessary to monitor and adjust the transmittance of each lens unit in real time to dynamically optimize the light intensity distribution.

[0003] However, due to the complex changes in material properties under extremely low temperature environments, traditional control algorithms are difficult to adapt. It is necessary to develop an intelligent control method that can adaptively adjust the working state of each lens unit according to real-time monitoring data, and while meeting the requirements of the light intensity distribution, also take into account the energy consumption and reliability of the system; in addition, it is also necessary to consider the impact of extremely low temperature conditions on the lens material itself, such as thermal expansion and contraction, mechanical strength changes, etc., to ensure that the lens system can work stably for a long time; these factors together constitute a complex technical problem, which requires in-depth research and innovation in multiple fields such as materials, optics, and control to provide reliable and efficient lighting protection for deep space exploration missions. Summary of the Invention

[0004] In order to solve the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide an optical data processing method for a lighting lamp used in deep space exploration. The optical data processing method for a lighting lamp used in deep space exploration improves the working stability and illumination effect of the deep space exploration lighting lamp in extreme environments through continuous monitoring and data collection, and provides reliable lighting protection for deep space exploration missions.

[0005] An optical data processing method for a lighting lamp used in deep space exploration according to the present invention includes the following steps:

[0006] S1. Obtain the working environment parameters of the lens system of the deep space exploration lighting lamp and the stress-optic effect test data of the lens material under different extremely low temperature conditions, and obtain the change curve of the birefringence characteristic parameters of the material at different temperatures;

[0007] S2. Based on the change curve, simulate and calculate the change of the polarization state of the incident light beam with different polarization states after passing through the birefringent lens, and obtain the change law of the polarization state of the transmitted light beam with respect to the polarization state of the incident light and the birefringence parameters of the lens material;

[0008] S3. Optimize the lens material and coating scheme of the deep space exploration lighting lamp lens system according to the variation law, and introduce a depolarization device to offset the change in the polarization state of part of the residual transmitted light beam;

[0009] S4. Install liquid crystal variable transmittance devices on each lens unit of the deep space exploration lighting lamp lens system, adjust the transmittance of each lens unit in real time, and obtain the actual light intensity distribution closest to the ideal illumination light intensity distribution;

[0010] S5. Use a neural network algorithm to train the historical ideal illumination light intensity distribution data, and calculate the optimal working parameter combination of the liquid crystal variable transmittance devices of each lens unit when any given illumination light intensity distribution target is reached according to the required transmittance values of each lens unit at the target light intensity distribution;

[0011] S6. Monitor the ambient temperature of the lens material in real time, and monitor the change in the polarization state of the transmitted light beam of the deep space exploration lighting lamp lens system when the temperature change causes a change in the birefringence characteristics of the material;

[0012] S7. Continuously monitor the working process of the deep space exploration lighting lamp, and collect the temperature, polarization state and light intensity distribution of the lens system to dynamically optimize the adjustment accuracy and response speed.

[0013] Preferably, the step S1 specifically includes:

[0014] Obtain the optical path difference data and stress distribution data from the deep space exploration lighting lamp lens system, and collect the stress distribution change characteristic parameters in the optical sensor according to the stress distribution data;

[0015] According to the stress distribution change characteristic parameters, collect three groups of strain characteristic quantities of displacement, shear strain and bulk strain through a strain sensor, and establish a photoelastic stress calculation matrix;

[0016] For the photoelastic stress calculation matrix, obtain the refractive index curve of the lens material from the optical property measuring instrument, and establish a numerical fitting model for the material birefringence characteristic parameters according to the refractive index curve;

[0017] According to the numerical fitting model, collect the temperature field data in the temperature sensor array, calculate the change value of the birefringence index through the temperature field data, and compensate and correct the birefringence characteristic parameters to generate the change curve of the material birefringence characteristic parameters at different temperatures.

[0018] Preferably, the step S2 specifically includes:

[0019] Based on the change curve, generate the mapping relationship data between temperature and birefringence difference, and calculate the accumulated optical path difference data through the ray tracing unit;

[0020] Perform polarization state decomposition on the three-dimensional polarization vector coordinates of the incident light, and obtain the polarization state direction angle and polarization degree data of the incident light through the polarization degree measurement unit;

[0021] Establish a matrix based on the incident light polarization state data and the birefringence difference data, and calculate the transmitted light phase delay through matrix multiplication;

[0022] Establish the coupling relationship between the temperature field and the birefringence parameters according to the curve of the transmitted light polarization degree changing with temperature, calculate the stress-induced birefringence value through photoelastic stress, and obtain the variation law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material.

[0023] Preferably, the step S3 specifically includes:

[0024] According to the variation law, numerically fit the optical axis orientation and the transmitted polarization state conversion parameters of each lens by using the polarization state transfer matrix of the lens unit to obtain the optimized numerical value of the initial optical axis orientation;

[0025] According to the optimized numerical value of the initial optical axis orientation, iteratively optimize the thickness parameters of the lens coating layer through the calculation of the interface reflection phase delay coupling to obtain the coating layer thickness distribution data;

[0026] According to the coating layer thickness distribution data, match and optimize the polarization state conversion parameters at the adjacent lens interfaces by using the polarization state conversion compensation method to obtain the lens group polarization matching compensation data;

[0027] According to the lens group polarization matching compensation data, comprehensively optimize the birefringence parameters of the lens material and the coating scheme through the cumulative calculation of the optical path difference layer by layer to obtain the transmitted light beam polarization state stabilization data.

[0028] Preferably, the step S4 specifically includes:

[0029] Obtain the light intensity values of each lens unit collected by the photodetector array, and establish a mapping relationship database between the transmittance of the liquid crystal device and the driving voltage;

[0030] According to the mapping relationship database, numerically solve the orientation angle through the correlation calculation between the liquid crystal molecular arrangement direction and the transmittance to obtain the initial modulation data of the transmittance;

[0031] For the initial modulation data of the transmittance, correct the response time of the liquid crystal device to obtain the transmittance modulation data after temperature correction;

[0032] According to the transmittance modulation data after temperature correction, dynamically match the transmittance between adjacent lens units by using the collaborative optimization algorithm to obtain the light intensity distribution collaborative control data.

[0033] Preferably, the step S5 specifically includes:

[0034] Obtain the light intensity distribution data, preprocess the light intensity distribution data through normalization, and use data stratified sampling to obtain a transmittance mapping relationship database;

[0035] Construct a three-layer neural network structure according to the transmittance mapping relationship database, optimize the network parameters through the backpropagation algorithm, and obtain the trained network parameters;

[0036] Establish a lens group transmittance loss function for the trained network parameters, and use the gradient descent method to perform iterative calculations on the transmittance loss function to obtain the combined optimized transmittance parameters;

[0037] Establish a light intensity distribution similarity evaluation function according to the combined optimized transmittance parameters, and calculate the matching degree verification result between the transmittance combination and the target light intensity distribution through the Pearson correlation coefficient;

[0038] Generate the driving voltage parameters and operating temperature parameters of each lens unit according to the matching degree verification result, establish a parameter combination dynamic adjustment function, and obtain an optimal operating parameter combination database.

[0039] Preferably, step S6 specifically includes:

[0040] Collect the temperature distribution data of the lens material temperature sensor array, calculate the temperature difference between adjacent moments according to the temperature distribution data, and obtain the change amount of the birefringence difference;

[0041] Establish a refractive index anisotropy matrix according to the change amount of the birefringence difference, and perform optical path difference accumulation calculation through the refractive index anisotropy matrix to obtain the optical property change value;

[0042] According to the transmitted light polarization degree and polarization direction data, calculate the polarization state change amount through the Stokes parameters, and judge whether the polarization state change amount exceeds a preset threshold;

[0043] If the polarization state change amount exceeds the preset threshold, then perform phase delay modulation on the transmitted light through the wave plate array, and calculate the non-uniformity of the compensated transmitted light intensity distribution by using a photodetector to obtain the light intensity distribution change characteristic quantity.

[0044] Preferably, step S7 specifically includes:

[0045] Obtain the real-time parameters collected by the temperature sensor, polarization state sensor and light intensity sensor, and obtain a standardized parameter matrix through normalization according to the real-time parameters;

[0046] Extract the parameter coupling eigenvector from the standardized parameter matrix, establish a control response time index calculation function according to the parameter coupling eigenvector, obtain the quantitative index value through fuzzy membership calculation, and determine the weight coefficient from the quantitative index value by using the analytic hierarchy process;

[0047] Construct an adaptive update function for the controller parameters according to the weight coefficient, and perform real-time correction on the controller parameters through error feedback calculation to obtain an adaptive optimization parameter group.

[0048] The optical data processing method of a deep space exploration lighting lamp according to the present invention has the advantages that:

[0049] The optical data processing method of a deep space exploration lighting lamp according to the present invention aims at the problems of abnormal polarization state and light intensity distribution caused by the change of the birefringence characteristics of the lens material in the extremely low temperature environment. By real-time monitoring the environmental temperature and the polarization state of the transmitted beam, and combining with the pre-obtained temperature change curve of the material birefringence characteristics, the optical axis orientation and polarization state matching relationship of the lens unit are dynamically adjusted; The liquid crystal variable transmittance device and the neural network algorithm are used to realize the precise control of the energy distribution of the transmitted beam, so as to obtain the actual light intensity distribution closest to the ideal illumination light intensity distribution. Through continuous monitoring and data collection, the present invention continuously optimizes the control system, improves the working stability and illumination effect of the deep space exploration lighting lamp in the extreme environment, and provides a reliable lighting guarantee for the deep space exploration mission. Brief Description of the Drawings

[0050] Figure 1 is a flowchart of the optical data processing method of a deep space exploration lighting lamp according to the present invention. Detailed Embodiments

[0051] As Figure 1 shown, the optical data processing method of a deep space exploration lighting lamp according to the present invention includes the following steps:

[0052] S1. Obtain the working environment parameters of the lens system of the deep space exploration lighting lamp and the stress-optical effect test data of the lens material under different extremely low temperature conditions, and obtain the change curve of the material birefringence characteristic parameters at different temperatures;

[0053] S2. Based on the change curve, simulate and calculate the polarization state change of the incident beam with different polarization states after passing through the birefringent lens, and obtain the change law of the polarization state of the transmitted beam with the polarization state of the incident light and the birefringence parameters of the lens material; Specifically, simulate and calculate the incident beam with different polarization states by using polarization optical simulation software.

[0054] S3. Optimize the lens material and coating scheme of the deep space exploration lighting lamp lens system according to the variation law, and introduce a depolarization device to offset the change in the polarization state of part of the residual transmitted light beam. Specifically, optimize the lens material and coating scheme of the deep space exploration lighting lamp lens system, adjust the optical axis orientation and polarization state matching relationship of each lens unit, and introduce a depolarization device, where the depolarization device is used to offset the change in the polarization state of part of the residual transmitted light beam;

[0055] S4. Install liquid crystal variable transmittance devices on each lens unit of the deep space exploration lighting lamp lens system, and adjust the transmittance of each lens unit in real time to obtain the actual light intensity distribution closest to the ideal illumination light intensity distribution. Specifically, according to the parameters obtained by the variable transmittance device, adjust the transmittance of each lens unit in real time, dynamically change the energy distribution of the transmitted light beam, and obtain the actual light intensity distribution closest to the ideal illumination light intensity distribution;

[0056] S5. Use a neural network algorithm to train the historical ideal illumination light intensity distribution data, and calculate the optimal working parameter combination of the liquid crystal variable transmittance devices of each lens unit when any given illumination light intensity distribution target is reached according to the transmittance values required by each lens unit at the target light intensity distribution. Specifically, use a neural network algorithm to train the historical ideal illumination light intensity distribution data, output the corresponding combination of liquid crystal variable transmittances of the lens units, and iteratively optimize the liquid crystal variable transmittances of the lens units;

[0057] S6. Monitor the ambient temperature of the lens material in real time, and when the temperature change causes a change in the birefringence characteristics of the material, monitor the change in the polarization state of the transmitted light beam of the deep space exploration lighting lamp lens system;

[0058] S7. Continuously monitor the working process of the deep space exploration lighting lamp, and collect the temperature, polarization state and light intensity distribution of the lens system to dynamically optimize the adjustment accuracy and response speed.

[0059] Furthermore, in this embodiment, step S1 specifically includes:

[0060] Obtain the optical path difference data and stress distribution data from the deep space exploration lighting lamp lens system, and collect the stress distribution change characteristic parameters in the optical sensor according to the stress distribution data;

[0061] According to the stress distribution change characteristic parameters, collect three groups of strain characteristic quantities, namely displacement, shear strain and bulk strain, through a strain sensor, and establish a photoelastic stress calculation matrix;

[0062] For the photoelastic stress calculation matrix, obtain the refractive index curve of the lens material from the optical property measuring instrument, and establish a numerical fitting model for the material birefringence characteristic parameters according to the refractive index curve;

[0063] According to the numerical fitting model, temperature field data is collected by the temperature sensor array, the change value of birefringence is calculated through the temperature field data, and the birefringence characteristic parameters are compensated and corrected to generate the change curve of the birefringence characteristic parameters of the material at different temperatures;

[0064] Specifically, the optical path difference data and stress distribution data are obtained from the deep space exploration lighting lamp lens system. The characteristic parameters of the stress distribution change in the range from the zero-stress state to the stress upper limit value are collected by the optical sensor. Then, the collected stress values are processed for light intensity attenuation compensation in the stress sensor, and the stress-optic effect correlation value of the lens material is calculated according to the compensated sensor values;

[0065] According to the stress-optic effect correlation value of the deep space exploration lighting lamp lens system, three groups of strain characteristic quantities, namely displacement, shear strain, and bulk strain, are collected by the strain sensor. The lens strain parameters and optical path difference data are correlated and analyzed in the strain acquisition unit to establish a photoelastic stress calculation matrix, and the mapping relationship between the stress value and the strain data is calculated using the photoelastic theory;

[0066] According to the change of the material optical properties of the deep space exploration lighting lamp lens system in the temperature range from -200 degrees to -20 degrees, the refractive index curve of the lens material is obtained from the optical property measuring instrument. The transmittance data is collected in the transmittance measurement unit, and a numerical fitting model of the relationship between the birefringence characteristic parameters of the material and temperature change is established using the ray tracing algorithm;

[0067] According to the temperature distribution state of the deep space exploration lighting lamp lens system, the temperature field data is collected by the temperature sensor array, the temperature distribution surface is generated through bilinear interpolation processing, and the thermal stress numerical solution of the lens stress distribution is carried out according to the temperature distribution surface data;

[0068] According to the thermal stress numerical solution result of the deep space exploration lighting lamp lens system, the coupling relationship between the temperature field and the stress field is established in the stress-strain analysis unit, the change value of birefringence is obtained through the stress-optic coefficient calculation unit, and the numerical fitting process is carried out on the birefringence characteristic curve of the material at different temperatures;

[0069] For the birefringence characteristic curve of the deep space exploration lighting lamp lens system, the stress distribution nephogram is obtained in the photoelastic stress analysis unit, and the birefringence effect of the material is compensated and corrected using the stress distribution nephogram data, and the birefringence characteristic parameter curve under the coupling action of temperature stress is generated according to the compensated and corrected data;

[0070] The example is as follows:

[0071] During the working process of the deep space exploration lighting lamp lens system, it bears an extreme temperature environment, and the lens material will produce a stress-optic effect, resulting in a change in the birefringence characteristic;

[0072] During the measurement process, a high-precision optical sensor array is adopted, with a sensor sampling frequency of 1000 Hz, which can collect the stress distribution data on the lens surface in real time;

[0073] For the range from zero stress state to the stress upper limit value of 300 MPa, a set of stress distribution characteristic parameters is recorded every 0.1 MPa, and the influence of environmental noise is eliminated through the treatment of light intensity attenuation compensation;

[0074] When the strain sensor collects three groups of strain characteristic quantities of the lens material, the displacement measurement range is from 0 to 500 microns, the shear strain measurement range is from 0 to 1000 microstrain, the bulk strain measurement range is from 0 to 2000 microstrain, and the sampling accuracy reaches 0.01 micron;

[0075] The strain acquisition unit conducts a correlation analysis on the lens strain parameters and the optical path difference data. During the establishment of the photoelastic stress calculation matrix, 25 strain characteristic points are selected to establish the stress-strain mapping relationship;

[0076] In the deep space exploration mission, the lens material is subjected to an extremely low temperature environment. In the temperature range from -200 degrees to -20 degrees, a set of refractive index data of the lens material is collected every 5 degrees;

[0077] When the transmittance measurement unit collects data, the incident light wavelength range is from 380 to 780 nanometers, and the measured light intensity attenuation coefficient varies within the range of 0.001 to 0.1;

[0078] The ray tracing algorithm uses the Monte Carlo method to trace 50,000 rays and establishes a numerical fitting model of the relationship between the birefringence characteristic parameters and temperature changes;

[0079] The temperature sensor array is arranged on the lens surface to form a 16×16 dot matrix, with a sampling interval of 2 mm and a temperature measurement accuracy of 0.1 degree;

[0080] The temperature field data is processed by the bilinear interpolation method to generate a temperature distribution surface of 400×400 points;

[0081] When establishing the coupling relationship between the temperature field and the stress field in the stress-strain analysis unit, the stress-optical coefficient measurement range is from 0 to 100 Brewster, and a set of birefringence change values is recorded every 0.1 Brewster;

[0082] The photoelastic stress analysis unit uses the phase retardation method to obtain the stress distribution cloud map, with a measurement range of 0 to 10 wavelengths and a measurement accuracy of 0.01 wavelength;

[0083] During the compensation and correction process of the material birefringence effect, a 25×25 compensation coefficient matrix is established, and the coefficient change range is from 0.8 to 1.2;

[0084] Finally, the birefringence characteristic parameter curve under the coupling action of temperature stress is generated, and the curve fitting accuracy is better than 0.1%, providing important parameter support for the design of the lens system of the deep space exploration lighting lamp.

[0085] Further, in this embodiment, step S2 specifically includes:

[0086] Based on the change curve, the mapping relationship data between temperature and birefringence difference is generated, and the accumulated optical path difference data is calculated through the ray tracing unit;

[0087] The three-dimensional polarization vector coordinates of the incident light are decomposed in terms of polarization state, and the polarization state direction angle and polarization degree data of the incident light are obtained through the polarization degree measurement unit;

[0088] A matrix is established according to the incident light polarization state data and the birefringence difference data, and the phase delay amount of the transmitted light is calculated through matrix multiplication;

[0089] Based on the curve of the transmitted light polarization degree changing with temperature, the coupling relationship between the temperature field and the birefringence parameter is established, the stress-induced birefringence value is calculated through photoelastic stress, and the variation law of the transmitted light polarization state with the incident light polarization state and the lens material birefringence parameter is obtained;

[0090] Specifically, according to the birefringence characteristic parameter change curve of the lens material, a mapping relationship data set between temperature and birefringence difference is generated in the optical simulation platform, the accumulated optical path difference is calculated through the ray tracing unit, and the characteristic parameters of the birefringence difference changing with temperature are judged;

[0091] The three-dimensional polarization vector coordinates of the incident light are established in the polarization state decomposition module, the horizontal polarization component and the vertical polarization component are solved, and the normalized light intensity distribution is obtained through the polarization degree measurement unit to get the incident light polarization state direction angle and polarization degree data;

[0092] According to the incident light polarization state data and the birefringence difference data, a Jones matrix is established in the polarization state evolution unit, and the phase delay amount of the transmitted light is calculated by matrix multiplication to obtain the data set of the transmitted light polarization state changing with the incident polarization state;

[0093] In the polarization state analysis unit, the transmitted light polarization state data is decomposed to obtain the light intensity ratio of the horizontal polarization component and the vertical polarization component, and the extinction ratio of the transmitted light is calculated through the light intensity ratio to obtain the curve of the transmitted light polarization degree changing with temperature;

[0094] According to the curve of the transmitted light polarization degree changing with temperature, the coupling relationship between the temperature field and the birefringence parameter is established in the birefringence effect analysis unit, the stress-induced birefringence value is obtained through photoelastic stress calculation, and the variation law of the transmitted light polarization state with the birefringence parameter is obtained;

[0095] Quantify the law of polarization state conversion of transmitted light in the polarization state conversion matrix unit, calculate the elements of the polarization state conversion matrix through Stokes parameters, and obtain the data of the change law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameter of the lens material;

[0096] The lens material will produce a birefringence effect under different temperature conditions, causing refractive index anisotropy. The birefringence difference, that is, the difference between the refractive indices of the fast axis and the slow axis, changes with temperature;

[0097] Examples are as follows:

[0098] In the optical simulation platform, the temperature range is set from -200 degrees to -20 degrees, and the corresponding birefringence difference change range is from 0.0001 to 0.001. The accumulated optical path difference obtained by ray tracing calculation changes between 0 and 10 wavelengths;

[0099] The polarization state of the incident light can be described by a three-dimensional polarization vector. The amplitude ratio of the horizontal polarization component to the vertical polarization component determines the polarization direction angle. The incident light is polarized and decomposed in the polarization state decomposition module. The direction angle measurement range is from 0 to 180 degrees, and the polarization degree measurement range is from 0 to 1;

[0100] When the incident light is linearly polarized light, the polarization degree is 1;

[0101] When the incident light is circularly polarized light, the polarization degree is 0;

[0102] The closer the polarization degree is to 1, the purer the polarization state;

[0103] The phase delay of the transmitted light is proportional to the product of the material birefringence difference and the optical path difference. When the temperature is -100 degrees, the birefringence difference is 0.0005, the optical path difference is 5 wavelengths, and the corresponding phase delay is 10π;

[0104] The polarization state of the transmitted light can be obtained by Jones matrix calculation. When the polarization direction angle of the incident light is 45 degrees, the polarization state of the transmitted light changes periodically with the phase delay. When the phase delay is 0, it remains linearly polarized, and when the phase delay is π / 2, it becomes circularly polarized;

[0105] The light intensity ratio of the horizontal polarization component to the vertical polarization component of the transmitted light reflects the extinction ratio of the transmitted light. The larger the extinction ratio value, the purer the polarization state;

[0106] When the temperature is -150 degrees, the material birefringence difference is 0.0008, and the extinction ratio of the transmitted light reaches 100:1, with a corresponding polarization degree of 0.98;

[0107] The stress-induced birefringence obtained by photoelastic stress calculation varies in the range of 0.0002 to 0.0005;

[0108] The Stokes parameters are used to describe the polarization state of polarized light and include four components representing the total light intensity, degree of linear polarization, direction of linear polarization, and degree of circular polarization respectively;

[0109] In the polarization state conversion matrix, the matrix elements reflect the conversion relationship from the polarization state of the incident light to that of the transmitted light;

[0110] When the temperature rises from -200 degrees to -20 degrees, the matrix elements of the transmitted light polarization state conversion show non-linear variation characteristics, which are closely related to the temperature dependence of the material birefringence difference;

[0111] By analyzing the matrix elements of the conversion matrix, the variation law of the polarization state of the transmitted light at different temperatures can be predicted.

[0112] Furthermore, in this embodiment, step S3 specifically includes:

[0113] According to the variation law, the numerical fitting of the optical axis orientation of each lens and the transmitted polarization state conversion parameters is carried out by using the polarization state transfer matrix of the lens unit to obtain the optimized numerical value of the initial optical axis orientation;

[0114] According to the optimized numerical value of the initial optical axis orientation, the thickness parameters of the lens coating layer are iteratively optimized through the interface reflection phase delay coupling calculation to obtain the coating layer thickness distribution data;

[0115] According to the coating layer thickness distribution data, the polarization state conversion parameters of adjacent lens interfaces are matched and optimized by using the polarization state conversion compensation method to obtain the lens group polarization matching compensation data;

[0116] According to the lens group polarization matching compensation data, the birefringence parameters of the lens material and the coating scheme are comprehensively optimized through the layer-by-layer optical path difference accumulation calculation to obtain the transmitted beam polarization state stabilization data;

[0117] Specifically, according to the variation law of the transmitted beam polarization state, the birefringence parameters of the lens material are scanned and iterated in the optical optimization unit, and the numerical fitting of the optical axis orientation of each lens and the transmitted polarization state conversion parameters is carried out by using the polarization state transfer matrix of the lens unit to obtain the optimized numerical value of the initial optical axis orientation;

[0118] According to the optimized numerical value of the initial optical axis orientation, the polarization state conversion matrix of the dielectric multilayer film is constructed in the coating optimization unit, and the thickness parameters of the lens coating layer are iteratively optimized through the interface reflection phase delay coupling calculation to obtain the coating layer thickness distribution data;

[0119] According to the coating layer thickness distribution data, the polarization state conversion characteristics of each lens interface are calculated in the polarization state matching unit, and the polarization state conversion parameters of adjacent lens interfaces are matched and optimized by using the polarization state conversion compensation algorithm to obtain the lens group polarization matching compensation data;

[0120] For the polarization matching compensation data of the lens group, a depolarizer structure parameter matrix is established in the depolarizer optimization unit. By calculating the phase delay compensation, the change of the residual polarization state is suppressed, and the depolarizer structure parameter distribution data is obtained.

[0121] According to the depolarizer structure parameter distribution data, an optical intensity propagation loss matrix is established in the optical path difference calculation unit. By calculating the cumulative optical path difference layer by layer, the birefringence parameter of the lens material and the coating scheme are comprehensively optimized, and the polarization state stabilization data of the transmitted beam is obtained.

[0122] According to the polarization state stabilization data of the transmitted beam, a polarization state stability index system is established in the comprehensive evaluation unit. By calculating the uniformity of the light intensity distribution, the overall polarization state characteristics of the lens system are evaluated, and the polarization state optimization parameter group of the lens system is obtained.

[0123] Examples are as follows:

[0124] Due to temperature changes, the lens material will produce stress birefringence effect in the deep space environment, resulting in the change of the polarization state of the lens system.

[0125] When scanning the birefringence parameter of the material, the orientation angle range is iterated at intervals of 1 degree within 0 to 180 degrees, and the optimized initial optical axis orientation values of each lens unit are obtained by calculating the polarization state transfer matrix.

[0126] When the optical axis orientation angle is 45 degrees, the birefringence effect is the most significant, and the change amount of the polarization state of the transmitted light reaches the maximum value.

[0127] The lens coating layer is designed with a dielectric multilayer film structure. The film layer material is selected as a dielectric material with alternating high and low refractive indexes, and the interface reflection phase delay is controlled by adjusting the thickness of each film layer.

[0128] The thickness distribution range of the coating layer is between 50 and 300 nanometers, and the refractive index difference between adjacent layers is between 0.5 and 1.0.

[0129] When the incident light wavelength is 550 nanometers, through the optimized design of 15 dielectric films, the change amount of the interface reflection phase delay is controlled within π / 4.

[0130] During the polarization state matching optimization process of the adjacent lens interfaces, the polarization degree of the transmitted light is calculated by using the polarization state conversion compensation algorithm.

[0131] When the incident light is linearly polarized light, after passing through the first lens interface, the polarization degree decreases from 1 to 0.95. After polarization state matching compensation, the polarization degree of the transmitted light can be increased to 0.98.

[0132] The compensation parameters include the interface azimuth angle and the ellipticity. The azimuth angle adjustment range is 0 to 90 degrees, and the ellipticity adjustment range is 0 to 1.

[0133] The depolarizer adopts a zero - order wave - plate structure composed of a birefringent crystal, and suppresses the residual polarization state by adjusting the crystal optical axis direction and thickness;

[0134] The crystal thickness varies in the range of 0.1 to 1 mm, and the angle between the optical axis direction and the incident light is adjusted in the range of 0 to 90 degrees. When the residual polarization degree is 0.1, it can be reduced to less than 0.01 after being processed by the depolarizer;

[0135] When calculating the cumulative optical path difference, the combined effect of the birefringence of the lens material and the coating layer is considered, and the optical path difference range is between 0 and 10 wavelengths;

[0136] When the temperature changes from - 200 degrees to - 20 degrees, the change in the optical path difference caused by the birefringence of the material is about 2 wavelengths, and the change in the phase delay caused by the coating layer is about 0.5 wavelengths. Through comprehensive optimization, the total change in the optical path difference can be controlled within 1 wavelength;

[0137] The evaluation of the polarization state stability adopts two indicators: the polarization degree uniformity and the direction angle consistency. The polarization degree uniformity characterizes the spatial distribution change of the polarization degree of the transmitted light, and the direction angle consistency characterizes the spatial distribution change of the polarization state orientation;

[0138] After optimization, the polarization degree uniformity of the lens system is better than 90% and the direction angle consistency is better than 95% within the entire field of view, meeting the requirements of deep - space exploration lighting.

[0139] Further, in this embodiment, step S4 specifically includes:

[0140] Obtain the light intensity values of each lens unit collected by the photodetector array, and establish a mapping relationship database between the transmittance of the liquid - crystal device and the driving voltage;

[0141] According to the mapping relationship database, numerically solve the orientation angle by using the correlation calculation between the liquid - crystal molecule arrangement direction and the transmittance to obtain the initial transmittance modulation data;

[0142] For the initial transmittance modulation data, correct the response time of the liquid - crystal device to obtain the temperature - corrected transmittance modulation data;

[0143] According to the temperature - corrected transmittance modulation data, adopt a cooperative optimization algorithm to dynamically match the transmittance between adjacent lens units to obtain the cooperative control data of the light intensity distribution;

[0144] Specifically, according to the initial parameters of the liquid - crystal variable - transmittance device in the lens system, collect real - time light intensity distribution data in the light intensity detection unit, obtain the light intensity values of each lens unit through the photodetector array, and establish a mapping relationship database between the transmittance of the liquid - crystal device and the driving voltage by using the neural network algorithm;

[0145] According to the driving voltage mapping relationship data, a calculation function for the liquid crystal molecule orientation angle is established within the liquid crystal orientation control unit. The numerical solution of the orientation angle is obtained by calculating the correlation between the liquid crystal molecule arrangement direction and the transmittance, and the initial modulation data of the transmittance of each lens unit is obtained;

[0146] According to the initial modulation data of the transmittance, the temperature response parameters of the liquid crystal device are collected within the response characteristic measurement unit, and the response time of the liquid crystal device is corrected through a temperature compensation algorithm to obtain the transmittance modulation data after temperature correction;

[0147] According to the transmittance modulation data after temperature correction, a light intensity compensation function for each lens unit is constructed within the energy distribution control unit, and the transmittance between adjacent lens units is dynamically matched through a collaborative optimization algorithm to obtain the collaborative control data of the light intensity distribution;

[0148] According to the collaborative control data of the light intensity distribution, a closed-loop control function for the transmittance is established within the real-time feedback unit, and the transmittance is dynamically compensated through real-time adjustment of the driving voltage to obtain the real-time transmittance adjustment data of each lens unit;

[0149] According to the real-time transmittance adjustment data, an ideal light intensity distribution objective function is established within the light intensity distribution optimization unit, and the actual light intensity distribution and the ideal distribution are matched and calculated through the least mean square error algorithm to obtain the final transmittance optimization parameter group;

[0150] Examples are as follows:

[0151] The liquid crystal variable transmittance device changes the light transmission characteristics by voltage regulating the orientation of liquid crystal molecules, and plays a key role in the deep space exploration lighting system;

[0152] The photodetector array consists of 16×16 detection units, the light intensity detection range of each detection unit is from 0 to 1000 candela per square meter, and the sampling frequency is 100 Hz;

[0153] The neural network algorithm has a 3-layer network structure. The input layer contains two parameters, namely the driving voltage and the temperature. The hidden layer contains 16 neurons, and the output layer is the transmittance parameter;

[0154] There is a non-linear relationship between the liquid crystal molecule orientation angle and the transmittance. When the orientation angle changes within the range of 0 to 90 degrees, the transmittance shows a sine-squared relationship change;

[0155] When the driving voltage is adjusted within the range of 0 to 10 V, the liquid crystal molecules start to deflect from the initial vertical orientation. When the voltage reaches 1.5 V, significant changes start to occur, and the maximum deflection angle is reached at 5 V;

[0156] The transmittance modulation depth is continuously adjustable from 0 to 90%. The response characteristics of the liquid crystal device are significantly affected by temperature. At minus 100 degrees, the opening response time is 100 milliseconds and the closing response time is 80 milliseconds.

[0157] For every 10 degrees increase in temperature, the response time is shortened by 20%. Through the temperature compensation algorithm, the response time fluctuation is controlled within 30% within the actual operating temperature range;

[0158] The transmittance modulation accuracy after temperature compensation is better than 2%. The transmittance between adjacent lens units needs to be coordinated to ensure uniform light intensity distribution;

[0159] The collaborative optimization algorithm uses the difference in transmittance between adjacent units as a constraint, and the difference threshold is set to 10%. When the transmittance of a lens unit changes, the adjacent units adjust the transmittance synchronously to maintain a smooth transition of the overall light intensity distribution;

[0160] The coordinated control of light intensity distribution makes the light intensity gradient in the edge transition area less than 20%. The transmittance closed-loop control adopts a real-time feedback mechanism with a control cycle of 10 milliseconds and a drive voltage adjustment step of 0.1 volt each time. The adjustment direction and amplitude are determined by comparing the deviation between the current transmittance and the target transmittance. The closed-loop control improves the transmittance stability to within 0.5%.

[0161] The ideal light intensity distribution is described by a Gaussian function, with a central light intensity of 1000 candelas per square meter and an edge light intensity of 10% of the central light intensity;

[0162] The minimum mean square error algorithm is used to fit the actual light intensity distribution with the ideal distribution, and the optimal transmittance parameters of each lens unit are obtained through iterative calculation;

[0163] The root mean square error between the optimized actual light intensity distribution and the ideal distribution is less than 5%, meeting the lighting requirements for deep space exploration.

[0164] Furthermore, in this embodiment, step S5 specifically includes:

[0165] Acquire light intensity distribution data, pre-process the light intensity distribution data through normalization, and obtain a transmittance mapping relationship database using data stratified sampling;

[0166] A three-layer neural network structure is constructed based on the transmittance mapping relationship database, and the network parameters are optimized through the back propagation algorithm to obtain the trained network parameters;

[0167] A lens group transmittance loss function is established for the trained network parameters, and the transmittance loss function is iteratively calculated using the gradient descent method to obtain the transmittance parameters after combined optimization;

[0168] An evaluation function for the similarity of light intensity distribution is established based on the transmittance parameters optimized by combination, and the matching degree verification result between the transmittance combination and the target light intensity distribution is calculated through the Pearson correlation coefficient;

[0169] According to the matching degree verification result, the driving voltage parameters and working temperature parameters of each lens unit are generated, and a dynamic adjustment function of parameter combination is established to obtain the optimal working parameter combination database;

[0170] Specifically, according to the historical ideal illumination light intensity distribution data, the light intensity distribution data is normalized in the data preprocessing unit, the characteristics of the liquid crystal variable transmittance value of the lens unit are extracted through data stratified sampling, and a mapping relationship database between the light intensity distribution and the transmittance is established by using a deep neural network;

[0171] According to the mapping relationship database, a three-layer neural network structure is constructed in the neural network training unit, the network weights and biases are optimized through the backpropagation algorithm, and the cross-validation of the trained network parameters is carried out;

[0172] According to the trained network parameters, a transmittance loss function of the lens group is established in the transmittance optimization unit, the liquid crystal variable transmittance of the lens unit is optimized by combination through the gradient descent method, and the combined transmittance is iteratively optimized by using the least mean square error criterion;

[0173] According to the combined transmittance after iterative optimization, an evaluation function for the similarity of light intensity distribution is established in the matching degree calculation unit, and the matching degree between the transmittance combination and the target light intensity distribution is verified through calculation by the Pearson correlation coefficient;

[0174] According to the matching degree verification result, a working parameter curve of the liquid crystal device is constructed in the parameter mapping unit, and the driving voltage parameters and working temperature parameters of each lens unit are generated by the look-up table method;

[0175] According to the driving voltage parameters and working temperature parameters, a dynamic adjustment function of parameter combination is established in the real-time update unit, and the working parameters are optimized in real time through the adaptive control algorithm to obtain the optimal working parameter combination database;

[0176] Examples are as follows:

[0177] The historical ideal illumination light intensity distribution data includes light intensity distribution data of multiple different illumination scenarios, and the light intensity value is normalized from 0 to 1 in the data preprocessing stage;

[0178] The lens units are arranged in a 4×4 array, and the liquid crystal variable transmittance corresponding to each lens unit is continuously adjustable in the range of 10% to 90%;

[0179] Data hierarchical sampling divides the data into three layers: the central region, the transition region, and the edge region, according to the light intensity distribution characteristics. The proportion of each layer of data in the total sample size is 25%, 50%, and 25% respectively;

[0180] The neural network adopts a three-layer structure. The input layer contains 16 nodes corresponding to the light intensity distribution data of 16 lens units. The hidden layer uses 32 nodes, and the output layer contains 16 nodes corresponding to the transmittance values of the lens units;

[0181] The training data set contains 1000 groups of historical data, of which 800 groups are used for training and 200 groups are used for verification;

[0182] The backpropagation algorithm uses the batch gradient descent method, the learning rate is set to 0.01, and the number of training iterations is 1000 times;

[0183] The transmittance loss function of the lens group adopts the mean square error form to calculate the difference between the predicted transmittance and the target transmittance;

[0184] During the gradient descent optimization process, the step size for adjusting the transmittance each time is 0.001, and the iteration stops when the change in the loss function for 5 consecutive iterations is less than 0.0001;

[0185] The minimum mean square error criterion requires that the mean square error between the optimized transmittance combination and the target transmittance is less than 0.01;

[0186] The matching degree verification uses the Pearson correlation coefficient to evaluate the similarity between the transmittance combination and the target light intensity distribution, and the correlation coefficient threshold is set to 0.95;

[0187] When the correlation coefficient is greater than the threshold, it is considered that the current transmittance combination meets the requirements of the target light intensity distribution;

[0188] The working parameter curve of the liquid crystal device includes the mapping relationship between the driving voltage and the transmittance. The voltage range is from 0 to 10 volts, and a group of transmittance data is recorded every 0.1 volts;

[0189] The working temperature parameter is closely related to the response characteristics of the liquid crystal device. The temperature range is from -100 degrees to -20 degrees, and a group of response time data is recorded every 5 degrees;

[0190] The adaptive control algorithm compensates the driving voltage according to the real-time temperature feedback. The compensation coefficient changes linearly with the temperature, and the compensation coefficient changes by 0.1 for every 10-degree change in temperature;

[0191] The optimal working parameter combination database contains the driving voltage compensation values under different temperature conditions, and the control accuracy of the compensated transmittance is better than 1%.

[0192] Furthermore, in this embodiment, step S6 specifically includes:

[0193] Collect the temperature distribution data of the lens material temperature sensor array, calculate the temperature difference between adjacent moments based on the temperature distribution data, and obtain the change amount of the birefringence difference;

[0194] Establish a refractive index anisotropy matrix according to the change amount of the birefringence difference, and perform the accumulation calculation of the optical path difference through the refractive index anisotropy matrix to obtain the change value of the optical characteristics;

[0195] According to the transmitted light polarization degree and polarization direction data, calculate the change amount of the polarization state through the Stokes parameters, and judge whether the change amount of the polarization state exceeds the preset threshold;

[0196] If the change amount of the polarization state exceeds the preset threshold, perform phase delay modulation on the transmitted light through the wave plate array, and calculate the non-uniformity of the compensated transmitted light intensity distribution by using a photodetector to obtain the change characteristic quantity of the light intensity distribution;

[0197] Specifically, according to the real-time temperature distribution data collected by the lens material temperature sensor array, numerically calculate the temperature difference between adjacent moments in the temperature change calculation unit, and track the change amount of the material birefringence difference in real time through the temperature birefringence characteristic curve;

[0198] According to the change amount of the birefringence difference, establish a refractive index anisotropy matrix in the optical characteristic calculation unit, and perform real-time evaluation of the stress-optic effect of the material through the accumulation calculation of the optical path difference to obtain the change value of the optical characteristics of the lens material;

[0199] According to the change value of the optical characteristics, collect the transmitted light polarization degree and polarization direction data in the polarization detection unit, and perform real-time monitoring of the change amount of the polarization state through the Stokes parameter calculation to judge whether the change amount of the polarization state exceeds the set threshold;

[0200] If the change amount of the polarization state exceeds the threshold, start the quarter-wave plate array in the polarization compensation unit, and perform dynamic compensation on the polarization state of the transmitted light through phase delay modulation to obtain the compensated polarization state parameters;

[0201] According to the compensated polarization state parameters, establish an energy distribution measurement array in the light intensity distribution detection unit, and perform real-time calculation of the non-uniformity of the transmitted light intensity distribution by using a photodetector to obtain the change characteristic quantity of the light intensity distribution;

[0202] According to the change characteristic quantity of the light intensity distribution, use the genetic algorithm to perform dynamic optimization of the quarter-wave plate array parameters in the compensation optimization unit, and perform collaborative optimization of the polarization state compensation and the light intensity distribution compensation through closed-loop feedback control;

[0203] The example is as follows:

[0204] The lens material is subjected to extreme temperature variations in the deep space exploration environment. The temperature sensor array consists of 16×16 temperature sensors, with a sampling frequency of 10 Hz and a measurement accuracy of 0.1 degree Celsius.

[0205] When the temperature changes from -100 degrees to -50 degrees, the maximum temperature difference between adjacent sampling moments can reach 0.5 degrees. This temperature change will cause a change in the material's birefringence difference.

[0206] The temperature sensitivity of the birefringence difference is 0.0001 per degree Celsius. The change in the birefringence difference can be calculated in real time through the temperature birefringence characteristic curve.

[0207] The refractive index anisotropy of the material is manifested as different refractive indices for the fast axis and the slow axis. The optical properties of the material are described by a 3×3 matrix.

[0208] When the temperature change causes the photoelastic effect, the optical path difference accumulates with the optical path, and a phase delay of 2 wavelengths can be generated in a 10-mm-thick lens material.

[0209] The photoelastic effect causes a change in the polarization state of the transmitted light, and it is necessary to monitor the change in the polarization state in real time.

[0210] The polarization detection unit uses a polarization state analyzer to measure the polarization degree and polarization direction of the transmitted light, with a sampling frequency of 100 Hz.

[0211] The Stokes parameters include four components, which respectively characterize the total light intensity, the degree of linear polarization, the direction of linear polarization, and the degree of circular polarization.

[0212] When the change in the polarization state exceeds the set threshold, that is, when the change in the polarization degree is greater than 0.1 or the change in the polarization direction is greater than 5 degrees, the compensation mechanism is triggered.

[0213] The quarter-wave plate array consists of 16×16 modifiable wave plates, and the phase delay amount of each wave plate is continuously adjustable within the range of 0 to half a wavelength.

[0214] By adjusting the optical axis direction and phase delay amount of the wave plate, the polarization state of the transmitted light can be accurately compensated.

[0215] The compensated polarization state parameters are monitored in real time through a polarization analyzer, and the compensation accuracy is better than 0.01.

[0216] The photodetector array measures the transmitted light intensity distribution. The detector area array size is 400×400 microns, and the responsivity is 0.5 A / W.

[0217] The non-uniformity calculation uses the ratio of the maximum light intensity to the minimum light intensity, and it is required that the non-uniformity is less than 1.2. The characteristic quantities of the light intensity distribution change include three parameters: the central light intensity, the edge light intensity ratio, and the spot half-width.

[0218] During the optimization process of the genetic algorithm, the population size is set to 100, and the number of iterations is 50 generations;

[0219] The optimization objective function comprehensively considers two indicators: the polarization state compensation error and the non-uniformity of light intensity distribution, and the weight ratio is 3:1;

[0220] The closed-loop feedback control period is 10 milliseconds, and the compensation parameters are updated once per control period;

[0221] Through collaborative optimization, the compensated transmission beam simultaneously meets the requirements of polarization state stability and light intensity uniformity.

[0222] Furthermore, in this embodiment, step S7 specifically includes:

[0223] Obtain the real-time parameters collected by the temperature sensor, polarization state sensor, and light intensity sensor, and obtain the standardized parameter matrix through normalization processing based on the real-time parameters;

[0224] Extract the parameter coupling eigenvector from the standardized parameter matrix, establish a control response time index calculation function based on the parameter coupling eigenvector, obtain the quantified index value through fuzzy membership calculation, and determine the weight coefficient from the quantified index value using the analytic hierarchy process;

[0225] Construct an adaptive update function for the controller parameters according to the weight coefficient, and perform real-time correction on the controller parameters through error feedback calculation to obtain the adaptive optimization parameter group;

[0226] Specifically, according to the real-time parameters collected by the temperature sensor, polarization state sensor, and light intensity sensor of the deep space exploration lighting lamp lens system, perform normalization processing on the temperature field distribution, polarization state change amount, and light intensity distribution in the data processing unit to obtain the standardized parameter matrix;

[0227] According to the standardized parameter matrix, in the feature extraction unit, use a deep neural network to perform correlation analysis on the three groups of parameters of temperature, polarization state, and light intensity, and extract the coupling features between the parameters through convolution operation to obtain the parameter coupling eigenvector;

[0228] According to the parameter coupling eigenvector, establish calculation functions for the control response time index, adjustment accuracy index, and stability index in the evaluation index calculation unit, obtain the quantified values of each index through fuzzy membership calculation, and determine the index weight coefficient using the analytic hierarchy process;

[0229] According to the index weight coefficient, establish optimization functions for the feedback controller gain parameter, integral time parameter, and differential time parameter in the control parameter optimization unit, and perform iterative optimization on the controller parameters through the gradient descent method to obtain the optimized data of the controller parameters;

[0230] Optimize data according to the controller parameters, establish a control response characteristic curve in the response characteristic optimization unit, and perform fitting calculation on the response characteristic curve by the least squares method to obtain the controller dynamic response parameters;

[0231] For the controller dynamic response parameters, construct an adaptive update function of the controller parameters in the adaptive adjustment unit, and perform real-time correction on the controller parameters through error feedback calculation to obtain an adaptively optimized controller parameter group;

[0232] The example is as follows:

[0233] The parameter monitoring of the deep space exploration lighting lens system involves three dimensions: temperature field, polarization state, and light intensity distribution;

[0234] The sampling frequency of the temperature sensor is 100 Hz, the measurement range is from -200 degrees to -20 degrees, and the resolution is 0.1 degree;

[0235] The polarization state sensor measures the degree of polarization and the polarization direction, the sampling frequency is 1000 Hz, the resolution of the degree of polarization is 0.001, and the angular resolution of the polarization direction is 0.1 degree;

[0236] The sampling frequency of the light intensity sensor is 500 Hz, and the dynamic range is from 0 to 1000 candela per square meter;

[0237] Data normalization processes maps parameters with different dimensions to the interval from 0 to 1, facilitating subsequent processing;

[0238] The deep neural network adopts a 5-layer structure. The input layer contains 16×16 nodes for the temperature field, 2 nodes for the polarization state, and 16×16 nodes for the light intensity distribution;

[0239] Extract the coupling characteristics between parameters through 3 convolutional layers, and the kernel sizes of the convolutional kernels are 5×5, 3×3, and 3×3 respectively. Finally, a 128-dimensional feature vector is obtained to characterize the correlation relationship between parameters;

[0240] The control performance evaluation adopts three indicators. The step response time of the response time index requirement is less than 100 milliseconds, the steady-state error of the regulation accuracy index requirement is less than 1%, and the overshoot of the stability index requirement is less than 5%;

[0241] The fuzzy membership function maps each index to the interval from 0 to 1, and 5 fuzzy subsets are used to describe the quality of the index;

[0242] The weight coefficients determined by the analytic hierarchy process are 0.4, 0.4, and 0.2 respectively. The feedback controller adopts a PID structure, the gain parameter range is from 0.1 to 10, the integral time parameter range is from 0.01 to 1 second, and the differential time parameter range is from 0.001 to 0.1 second;

[0243] The learning rate of the gradient descent method is set to 0.01, and the optimization stops when the parameter change amount in five consecutive iterations is less than 0.001;

[0244] The finally obtained controller parameters can make the system response characteristics meet the index requirements. The response characteristic curve is described by a second-order system model, which includes two characteristic parameters: natural frequency and damping ratio;

[0245] The natural frequency obtained by the least squares fitting is in the range of 10 to 100 Hz, and the damping ratio is in the range of 0.6 to 0.8. These parameters reflect the dynamic response characteristics of the system;

[0246] The adaptive adjustment adopts an error feedback mechanism, and the control period is 1 millisecond. When the system error exceeds the set threshold, the controller parameters are updated through the adaptive law;

[0247] The adaptive gain is set to 0.1 to ensure the smooth convergence of the parameter adjustment. The controller parameters after the adaptive optimization can adapt to the dynamic changes of the system characteristics and maintain good control performance.

[0248] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the orientation words such as "front, back, up, down, left, right", "horizontal, vertical, horizontal" and "top, bottom", etc. is usually based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description. Without contrary instructions, these orientation words do not indicate and imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation to the protection scope of the present invention.

[0249] For those skilled in the art, various corresponding changes and deformations can be made according to the technical solutions and concepts described above, and all these changes and deformations should fall within the protection scope of the claims of the present invention.

Claims

1. An optical data processing method for a lighting lamp used in deep space exploration, characterized in that, It includes the following steps: S1. Obtain the working environment parameters of the deep space exploration lighting lamp lens system and the stress - optical effect test data of the lens material under different cryogenic conditions, and obtain the change curve of the material birefringence characteristic parameters at different temperatures; S2. Based on the change curve, simulate and calculate the incident light beams with different polarization states, and obtain the change of the polarization state after passing through the birefringent lens, and obtain the variation law of the polarization state of the transmitted light beam with respect to the polarization state of the incident light and the birefringence parameters of the lens material; S3. According to the variation law, optimize the lens material and coating scheme of the deep space exploration lighting lamp lens system, and introduce a depolarization device to offset part of the residual change of the polarization state of the transmitted light beam; S4. Install liquid - crystal variable transmittance devices on each lens unit of the deep space exploration lighting lamp lens system, and adjust the transmittance of each lens unit in real - time to obtain the actual light intensity distribution closest to the ideal illumination light intensity distribution; S5. Use the neural network algorithm to train the historical ideal illumination light intensity distribution data, and calculate the optimal working parameter combination of the liquid - crystal variable transmittance devices of each lens unit when any given illumination light intensity distribution target is set according to the required transmittance value of each lens unit at the target light intensity distribution; S6. Monitor the environmental temperature of the lens material in real - time, and monitor the change of the polarization state of the transmitted light beam of the deep space exploration lighting lamp lens system when the change of temperature causes the change of the material birefringence characteristics; S7. Continuously monitor the working process of the deep space exploration lighting lamp, and collect the temperature, polarization state and light intensity distribution of the lens system to dynamically optimize the adjustment accuracy and response speed.

2. The optical data processing method for the deep space exploration lighting device according to claim 1, characterized in that, The specific content of step S1 includes: Obtain the optical path difference data and stress distribution data from the deep space exploration lighting lamp lens system, and collect the stress distribution change characteristic parameters in the optical sensor according to the stress distribution data; According to the stress distribution change characteristic parameters, collect three groups of strain characteristic quantities, namely displacement, shear strain and volume strain, through the strain sensor, and establish a photo - elastic stress calculation matrix; For the photo - elastic stress calculation matrix, obtain the refractive index curve of the lens material from the optical property measuring instrument, and establish a numerical fitting model for the material birefringence characteristic parameters according to the refractive index curve; According to the numerical fitting model, collect the temperature field data in the temperature sensor array, calculate the change value of the birefringence index through the temperature field data, and perform compensation and correction on the birefringence characteristic parameters to generate the change curve of the material birefringence characteristic parameters at different temperatures.

3. The optical data processing method of the illuminating lamp for deep space exploration according to claim 1, wherein, The specific content of step S2 includes: Based on the change curve, generate the mapping relationship data between temperature and birefringence difference, and calculate the accumulated optical path difference data through the ray - tracing unit; Decompose the three - dimensional polarization vector coordinates of the incident light, and obtain the polarization state direction angle and polarization degree data of the incident light through the polarization degree measuring unit; Establish a matrix according to the incident light polarization state data and the birefringence difference data, and calculate the phase retardation of the transmitted light through matrix multiplication; Establish the coupling relationship between the temperature field and the birefringence parameters based on the curve of the degree of polarization of transmitted light varying with temperature. Calculate the stress-induced birefringence value through photoelastic stress calculation, and obtain the variation law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material.

4. The optical data processing method for the lighting lamp used in deep space exploration according to claim 1, characterized in that, The specific steps of step S3 include: According to the variation law, numerically fit the conversion parameters of the optical axis orientation and the transmitted polarization state of each lens using the polarization state transfer matrix of the lens unit to obtain the optimized numerical value of the initial optical axis orientation; According to the optimized numerical value of the initial optical axis orientation, iteratively optimize the thickness parameters of the lens coating layer through the coupling calculation of the interface reflection phase delay to obtain the coating layer thickness distribution data; According to the coating layer thickness distribution data, match and optimize the polarization state conversion parameters of adjacent lens interfaces through the polarization state conversion compensation method to obtain the polarization matching compensation data of the lens group; According to the polarization matching compensation data of the lens group, comprehensively optimize the birefringence parameters of the lens material and the coating scheme through the cumulative calculation of the optical path difference layer by layer to obtain the polarization state stabilization data of the transmitted light beam.

5. The optical data processing method of the lighting lamp for deep space exploration according to claim 1, characterized in that, The specific steps of step S4 include: Obtain the light intensity numerical values of each lens unit collected by the photodetector array, and establish a mapping relationship database between the transmittance of the liquid crystal device and the driving voltage; According to the mapping relationship database, numerically solve the orientation angle through the correlation calculation of the liquid crystal molecular arrangement direction and the transmittance to obtain the initial modulation data of the transmittance; For the initial modulation data of the transmittance, correct the response time of the liquid crystal device to obtain the transmittance modulation data after temperature correction; According to the transmittance modulation data after temperature correction, dynamically match the transmittance between adjacent lens units using a collaborative optimization algorithm to obtain the collaborative control data of the light intensity distribution.

6. The optical data processing method of the lighting lamp for deep space exploration according to claim 1, characterized in that, The specific steps of step S5 include: Obtain the light intensity distribution data, preprocess the light intensity distribution data through normalization processing, and use data stratified sampling to obtain the transmittance mapping relationship database; Construct a three-layer neural network structure according to the transmittance mapping relationship database, and optimize the network parameters through the backpropagation algorithm to obtain the trained network parameters; Establish a transmittance loss function for the lens group based on the trained network parameters, and iteratively calculate the transmittance loss function using the gradient descent method to obtain the optimized transmittance parameters after combination optimization; Establish a light intensity distribution similarity evaluation function based on the optimized transmittance parameters after combination optimization, and calculate the matching degree verification result between the transmittance combination and the target light intensity distribution through the Pearson correlation coefficient; Generate the driving voltage parameters and working temperature parameters of each lens unit according to the matching degree verification result, establish a parameter combination dynamic adjustment function, and obtain the optimal working parameter combination database.

7. The optical data processing method of the lighting lamp for deep space exploration according to claim 1, wherein The specific steps of step S6 include: Collect the temperature distribution data of the lens material temperature sensor array, calculate the temperature difference between adjacent moments according to the temperature distribution data, and obtain the change amount of the birefringence difference; Establish a refractive index anisotropy matrix according to the change amount of the birefringence difference, and perform cumulative calculation of the optical path difference through the refractive index anisotropy matrix to obtain the optical characteristic change numerical value; According to the polarization degree and polarization direction data of the transmitted light, the change in polarization state is calculated through Stokes parameters, and it is judged whether the change in polarization state exceeds a preset threshold; If the change in polarization state exceeds the preset threshold, the wave plate array is used to perform phase delay modulation on the transmitted light, and a photodetector is used to calculate the non-uniformity of the intensity distribution of the compensated transmitted light, and a characteristic quantity of the intensity distribution change is obtained.

8. The optical data processing method of the lighting lamp for deep space exploration according to claim 1, characterized in that The specific steps of step S7 include: Obtain the real-time parameters collected by the temperature sensor, polarization state sensor and light intensity sensor, and obtain a standardized parameter matrix through normalization processing according to the real-time parameters; Extract the parameter coupling eigenvector from the standardized parameter matrix, establish a control response time index calculation function according to the parameter coupling eigenvector, obtain the quantization index value through fuzzy membership calculation, and determine the weight coefficient from the quantization index value by using the analytic hierarchy process; Construct an adaptive update function of the controller parameters according to the weight coefficient, and perform real-time correction on the controller parameters through error feedback calculation to obtain an adaptive optimization parameter group.

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