A Design Method for a Dual-Band High-Penetration Wave Sandwich Radome
By applying a hybrid algorithm of genetic algorithm and geometric optical method in the radome design, the wall thickness design of the sandwich radome is optimized, which solves the problem that traditional design methods are difficult to meet the design requirements of variable wall thickness sandwich structures, and achieves efficient electrical performance design.
Patent Information
- Application Number
- CN202111387998.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-22
- Publication Date
- 2025-06-27
- Estimated Expiration
- 2041-11-22
AI Technical Summary
Traditional radome electrical performance design methods are difficult to meet the design requirements of radomes with variable wall thickness sandwich structures, resulting in inefficient design and high dependence on experience.
A hybrid algorithm based on genetic algorithm and geometric optics (GO) method is used to set the objective function to take into account the electrical performance indicators and wall thickness continuity requirements of the radome, and improve design efficiency by optimizing wall thickness design.
It effectively saves the optimized design time of the radome electrical performance design, improves the design efficiency, and takes into account both the electrical performance indicators and wall thickness continuity requirements.
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Figure CN114065435B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a design optimization method for the electrical performance of sandwich radomes, and particularly to a design method for a dual-band highly wave-transparent sandwich radome based on a GO-genetic hybrid algorithm. Background Art
[0002] A radome is an important device for protecting a radar antenna and is located at the front end of the system. The radome not only needs to meet the shape requirements but also needs to meet the electrical performance requirements required by the radar system at the same time. With the increasingly complex electromagnetic environment, the radar system puts forward higher design requirements for the electrical performance of the radome. Traditionally, the electrical performance design method of the radome is only applicable to the design optimization of single-layer dielectric radomes or sandwich radomes with simple shapes and equal wall thicknesses, and it is difficult to meet the design requirements of radomes with sandwich structures having arbitrary shape changes and variable wall thicknesses.
[0003] The design requirements for variable wall thickness sandwich radomes pose a severe challenge to the design optimization of variable wall thickness sandwich radomes, and will multiply the workload of the electrical performance design of the radome. The traditional design method requires a large amount of repetitive simulation work and law induction, with low efficiency, and puts forward higher requirements for the experience of designers. Summary of the Invention
[0004] The purpose of the present invention is to provide a design method for a dual-band highly wave-transparent sandwich radome. By reasonably setting the objective function of the optimization problem, it is possible to take into account both the electrical performance index of the radome and the requirement of wall thickness continuity, saving a large amount of optimization design time for the design of the electrical performance of the radome.
[0005] To achieve the above object, the present invention provides a design method for a dual-band highly wave-transparent sandwich radome, comprising the following steps:
[0006] Step S1: Establish the outer surface of the sandwich radome according to the known outer surface and determine the operating frequency;
[0007] Step S2: Discretize the outer surface of the sandwich radome with triangular elements;
[0008] Step S3: Set the dielectric constant, loss tangent value of each layer material of the sandwich radome and the initial thickness of each triangular element;
[0009] Step S4: Set the objective function of the genetic algorithm according to the design objective. The objective function is a linear combination of a dimensionless design value, a dimensionless wall thickness continuity evaluation value and a constraint condition. The dimensionless design value is the ratio of the design value to the design target value, and the dimensionless wall thickness continuity evaluation value is the ratio of the maximum value of the difference between the thicknesses of all triangular elements and the thicknesses of adjacent triangular elements to the expected roughness;
[0010]
[0011] Among them, obj is the objective function, d is the wall thickness value of each layer of the sandwich radome, V is the design value related to the wall thickness value of each layer, V0 is the design target value and is calculated by the geometric optical method, V / V0 is the dimensionless design value, R is the evaluation value of the wall thickness continuity of each layer, R0 is the expected evaluation target value of the wall thickness continuity, R / R0 is the dimensionless evaluation value of the wall thickness continuity, and ω1 and ω2 are weight values.
[0012] Step S5: Set the population size, maximum number of evolutions, crossover probability, mutation probability, upper and lower bounds of the independent variable, and discrete precision of the independent variable of the genetic algorithm, and execute the genetic algorithm program. When the target value reaches the minimum, the optimal wall thickness design of the sandwich radome is obtained.
[0013] By reasonably setting the objective function of the optimization problem, the present invention can take into account both the electrical performance index of the radome and the requirement of wall thickness continuity, saving a large amount of optimization design time for the design of the electrical performance of the radome. Description of the Drawings
[0014] Figure 1 It is a flowchart of the electrical performance optimization design of the sandwich radome in the present invention.
[0015] Figure 2 It is a schematic diagram of the outer surface of the sandwich radome in the present invention.
[0016] Figure 3 It is a diagram of the electrical performance design result of the sandwich radome in the present invention. Detailed Embodiment
[0017] The following is based on Figures 1 to 3 , and specifically describes the preferred embodiments of the present invention.
[0018] As Figure 1 shown, the present invention provides a design method for a dual-band high-transmission sandwich radome. When the outer surface, wall structure form, material properties, and operating frequency are known, variable wall thickness design is implemented. The specific steps include:
[0019] Step S1: Establish the outer surface of the sandwich radome according to the known outer surface, and determine the operating frequency according to the design task;
[0020] Step S2: Discretize the outer surface of the sandwich radome with triangular elements;
[0021] Step S3: Set the dielectric constant, loss tangent value of each layer of the sandwich radome, and the initial thickness of each triangular element.
[0022] Step S4: Set the objective function of the genetic algorithm according to the design goal. The objective function is a linear combination of the dimensionless design value and the dimensionless wall thickness continuity evaluation value. The dimensionless design value is the ratio of the design value to the design target value. The dimensionless wall thickness continuity evaluation value is the ratio of the maximum value R of the difference between the thicknesses of all triangular surface elements and the thicknesses of adjacent triangular elements to the expected roughness R0.
[0023]
[0024] Where obj is the objective function, d is the wall thickness value of each layer of the sandwich radome, V is the design value related to the wall thickness value of each layer, V0 is the design target value and is calculated by the geometric optics method, V / V0 is the dimensionless design value, R is the wall thickness continuity evaluation value of each layer, R0 is the expected wall thickness continuity evaluation target value, R / R0 is the dimensionless wall thickness continuity evaluation value, and ω1 and ω2 are weight values.
[0025] Step S5: Set the population size, maximum number of generations, crossover probability, mutation probability, upper and lower bounds of independent variables, and discrete precision of independent variables of the genetic algorithm, and execute the genetic algorithm program. When the objective value obj reaches the minimum, the optimal wall thickness design of the sandwich radome is obtained.
[0026] Example 1:
[0027] Combined with Figure 2 and Figure 3 , the electrical performance of the sandwich radome is designed and optimized according to a dual-band high-transmission sandwich radome design method provided by the present invention.
[0028] Step 1: According to the design requirements, determine the operating frequency of the sandwich radome and establish an outer surface model of the sandwich radome.
[0029] Step 2: Use triangular surface elements to divide the existing outer surface of the sandwich radome.
[0030] Step 3: Set the dielectric constant, loss tangent value of each layer of material of the sandwich radome and the initial thickness of each triangular surface element.
[0031] Step 4: Set the objective function of the genetic algorithm according to the design goal:
[0032]
[0033] Where obj is the objective function, d is the wall thickness value of each layer of the sandwich radome, V is the design value related to the wall thickness value of each layer, V0 is the design target value and is calculated by the GO method, R is the wall thickness continuity evaluation value of each layer, that is, the maximum value of the difference between the thicknesses of all triangular surface elements and the thicknesses of adjacent triangular elements, R0 is the expected wall thickness continuity evaluation target value and is set to 0.1 mm, and the weight values of ω1 and ω2 are both set to 0.5.
[0034] Step 5: Set the population size of the genetic algorithm to 200, and execute the genetic optimization program. When the objective value reaches the minimum, the optimal wall thickness design of the sandwich radome is obtained.
[0035] By reasonably setting the objective function of the optimization problem, the present invention can take into account both the electrical performance index of the radome and the requirement of wall thickness continuity, saving a large amount of optimization design time for the design of the electrical performance of the radome.
[0036] It should be noted that in the embodiments of the present invention, the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the embodiments and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.
[0037] Although the content of the present invention has been introduced in detail through the above preferred embodiments, it should be recognized that the above description should not be considered as a limitation of the present invention. After those skilled in the art have read the above content, various modifications and substitutions to the present invention will be obvious. Therefore, the protection scope of the present invention should be defined by the appended claims.
Claims
1. A design method for a dual-band high-transmission sandwich radome, characterized in that, Comprising: Step S1: Establish the outer surface of the sandwich radome according to the known outer surface and determine the operating frequency; Step S2: Discretize the outer surface of the sandwich radome with triangular elements; Step S3: Set the dielectric constant, loss tangent value of each layer material of the sandwich radome and the initial thickness of each triangular element; Step S4: Set the objective function obj of the genetic algorithm according to the design goal; Wherein, obj is the objective function, d is the wall thickness value of each layer of the sandwich radome, V is the design value related to the wall thickness value of each layer, V0 is the design target value and is calculated by the geometric optics method, V / V0 is the dimensionless design value, R is the evaluation value of the wall thickness continuity of each layer, R0 is the expected evaluation target value of the wall thickness continuity, R / R0 is the dimensionless evaluation value of the wall thickness continuity, and ω1 and ω2 are weight values; Step S5: Set the parameters of the genetic algorithm, execute the genetic algorithm program, and obtain the optimal wall thickness design of the sandwich radome when the target value reaches the minimum.
2. The design method of the dual-band high-transmission radome as claimed in claim 1, wherein The parameters of the genetic algorithm at least include: population size, maximum number of generations, crossover probability, mutation probability, upper and lower bounds of independent variables, and discretization precision of independent variables.
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