CN115422829A - Method and device for determining coating area of wave-absorbing material - Google Patents

Method and device for determining coating area of wave-absorbing material Download PDF

Info

Publication number
CN115422829A
CN115422829A CN202210948821.2A CN202210948821A CN115422829A CN 115422829 A CN115422829 A CN 115422829A CN 202210948821 A CN202210948821 A CN 202210948821A CN 115422829 A CN115422829 A CN 115422829A
Authority
CN
China
Prior art keywords
wave
absorbing material
coating area
target object
hot spot
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210948821.2A
Other languages
Chinese (zh)
Inventor
唐斯密
李铣镔
唐兴基
所俊
倪家正
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chinese People's Liberation Army 92942 Army
Original Assignee
Chinese People's Liberation Army 92942 Army
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chinese People's Liberation Army 92942 Army filed Critical Chinese People's Liberation Army 92942 Army
Priority to CN202210948821.2A priority Critical patent/CN115422829A/en
Publication of CN115422829A publication Critical patent/CN115422829A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Physiology (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Genetics & Genomics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The application relates to the technical field of radar application, and discloses a method and a device for determining a coating area of a wave-absorbing material, wherein the method comprises the following steps: performing i-time radar wave incidence simulation by adopting a VV polarization mode to obtain a hot spot threshold alpha of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1; performing i times of radar wave incidence simulation by adopting an HH polarization mode to obtain a hot spot threshold value alpha of a target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1;according to the constraint condition of the target object to the RCS value, the optimization target of the minimization of the coating area, and the first mapping relation function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and a Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.

Description

Method and device for determining coating area of wave-absorbing material
Technical Field
The application relates to the technical field of radar application, for example to a method and a device for determining a coating area of a wave-absorbing material.
Background
At present, the Radar Cross Section (RCS) control of an object generally adopts a shape design mode, but in engineering application, the shape design is limited by the whole body, and has a plurality of limitations. Therefore, after the shape design is cured, if further control of the RCS value of the object is required, the method of applying the wave-absorbing material is generally adopted. Therefore, the coating area of the wave-absorbing material directly influences the control effect of RCS, and in general, objects can be completely coated, but factors such as purchase and maintenance cost increase and weight increase are brought along with the object. If a partial coating method is adopted, the coating area is difficult to determine, and once the coating area has deviation, the application effect of the wave-absorbing material is greatly reduced. Therefore, the wave-absorbing material coating area on the surface of the object and the RCS value of the object are a typical multi-object optimization design problem, and how to find a solution which meets the engineering application between the coating area and the RCS control effect becomes a technical problem to be solved urgently.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended to be a prelude to the more detailed description that is presented later.
The application provides a method and a device for determining a coating area of a wave-absorbing material, a computing device and a storage medium, and the method and the device adopt the least coating area of the wave-absorbing material under the condition of controlling the RCS value of an object, so as to achieve the multi-objective optimization effect of optimal RCS value control and least wave-absorbing material consumption.
In some embodiments, the method for determining the coating area of the wave-absorbing material comprises the following steps:
performing i-time radar wave incidence simulation by adopting a VV polarization mode to obtain a hot spot threshold alpha of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1;
adopting an HH polarization mode to perform incident simulation of radar waves for i times to obtain a hot spot threshold alpha of a target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1;
according to the constraint condition of the target object to the RCS value, the optimization target of the minimization of the coating area, and the first mapping relation function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and a Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.
Optionally, the i-times radar wave incidence simulation is performed by adopting a VV polarization mode to obtain a hot spot threshold α of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) The method comprises the following steps:
sequentially increasing n degrees from the horizontal plane by taking 0 degree as an initial incidence direction, and determining i incidence angles, wherein n is equal to 360 degrees/i;
irradiating a target object with vertical radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation vi ；
According to i hot spot simulation graphs P vi Establishing a hot spot threshold alpha of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi )。
Optionally, the HH polarization mode is adopted to perform i times of incident simulation of radar waves, so as to obtain a hot spot threshold α of the target object Hi And the suctionCoating region S of wave material Hi Second mapping relation function S Hi ＝h i (α Hi ) The method comprises the following steps:
sequentially increasing n degrees from the horizontal plane by taking 0 degree as an initial incidence direction, and determining i incidence angles, wherein n is equal to 360 degrees/i;
irradiating a target object with horizontal radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation Hi ；
According to the i hot spot simulation graphs P Hi Establishing a hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi First mapping relation function S Hi ＝h i (α Hi )。
Optionally, i is 72 °, n ° is 5 °, and the frequency of the fixed band is 8GHz.
Optionally, the determining, by a multi-objective optimization algorithm, a Pareto optimal solution set of the RCS value and the coating area includes:
embedding the first mapping relation function S by using Isight optimization design function vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi )；
According to the constraint condition of the target object on the RCS value and the optimization target of minimizing the coating area, calculating the RCS value, the hot spot threshold and the coating area of the wave-absorbing material of the target object by utilizing CST software;
and forming a closed loop with the Isight optimization design function, performing joint simulation operation through the Isight optimization design function and CST software, and calculating in the Isight optimization design function through a multi-island genetic algorithm to obtain a Pareto optimal solution set.
Optionally, the constraint condition of the RCS value includes: RCS value is less than or equal to 70 and alpha is less than or equal to 0 vi Alpha is not less than 1 and not more than 0 Hi ≤1。
Optionally, after determining the optimal solution set of the RCS value and Pareto of the coating area through the multi-objective optimization algorithm, the method further includes:
reversely selecting the final optimized design parameters of the target object from the Pareto optimal solution set;
determining the coating position and the coating area of the wave-absorbing material according to the final optimized design parameters of the target object
In some embodiments, the apparatus for determining the coating area of the wave-absorbing material comprises:
a first polarization module configured to perform i times of radar wave incidence simulation by adopting a VV polarization mode to obtain a hot spot threshold alpha of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1;
a second polarization module configured to perform incident simulation of the radar wave for i times by adopting HH polarization mode to obtain a hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1;
a multi-objective optimization module configured to optimize an objective of coating region minimization according to a constraint condition of the objective object for RCS value, a first mapping relation function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and a Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.
In some embodiments, the computing device comprises a processor and a memory storing program instructions, the processor being configured to, when executing the program instructions, perform the method of determining a coated area of a wave-absorbing material as described herein.
In some embodiments, the storage medium stores program instructions which, when executed, perform the method of determining a coated area of a wave-absorbing material as described herein.
The method and the device for determining the coating area of the wave-absorbing material, the computing equipment and the storage medium can achieve the following technical effects:
according to the method and the device, the mapping relation between the hot point threshold of the target object and the coating area of the wave-absorbing material is obtained, then multi-objective optimization operation is carried out according to the constraint condition of the target object on the RCS value and the optimized target of the minimized coating area, and the Pareto optimal solution set of the RCS value and the coating area is obtained, so that the control effect of the RCS and the economy of the wave-absorbing material can be considered, the minimum coating amount of the wave-absorbing material is adopted under the condition that the RCS value of the target object is controlled as much as possible, and the multi-objective optimal effect of the RCS with the optimal control and the minimum using amount of the wave-absorbing material is achieved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a schematic view of a method for determining a coating area of a wave-absorbing material provided by the present application;
FIG. 2 is a schematic view of another method for determining coated areas of a wave-absorbing material provided by the present application;
FIG. 3 is a schematic illustration of a simulation model of a target object provided herein;
FIG. 4 is a schematic illustration of a hot spot simulation plot of a target object of an embodiment of the present disclosure;
FIG. 5 is a schematic view of another method for determining coated areas of a wave-absorbing material provided herein;
FIG. 6 is a schematic view of another method for determining coated areas of a wave-absorbing material provided by the present application;
FIG. 7 is a schematic view of another method for determining coated areas of a wave-absorbing material provided by the present application;
FIG. 8 is a schematic diagram of a Pareto optimal solution set provided by the present application;
FIG. 9 is a schematic illustration of one particular application provided herein;
FIG. 10 is a schematic view of a device for determining the coated area of the wave-absorbing material provided by the present application;
FIG. 11 is a schematic diagram of a computing device provided herein.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and claims of the embodiments of the disclosure and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged as appropriate for the embodiments of the disclosure described herein. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
The term "correspond" may refer to an association or binding relationship, and a corresponds to B refers to an association or binding relationship between a and B.
The radar emits radar waves through the antenna to irradiate an object, receives weak signals reflected by the object, and detects information about the object or environment, such as distance, speed, direction, scattering characteristics and the like through signal processing. As can be seen from the basic processing of the radar system, the radar mainly includes a transmitter, an antenna, a receiver, a signal processor, a display, and the like. Radar Cross Section (RCS) is a measure of the ability of an object to reflect Radar signals in the Radar receiving direction, and the RCS of an object is equal to the ratio of the power reflected by the target in a unit solid angle in the Radar receiving antenna radiation direction (per individual solid angle) to the power density incident on the target (per square meter).
Polarization is one of the essential properties of radar waves, and is important information in another dimension besides frequency, amplitude, and phase. The propagation and scattering of radar waves are both vectorial phenomena, and polarization is just used to study this vectorial feature of radar waves. The electric field vector of the energy pulse emitted by the radar may be polarized in the vertical or horizontal plane. The radar can send horizontal (H) or vertical (V) electric field vectors and can also receive horizontal (H) or vertical (V) signals. Namely, four common polarization modes include HH, VV, HV and VH. Specifically, unipolar refers to (HH) or (VV), which is either horizontal transmission and horizontal reception or vertical transmission and vertical reception. Dual polarization refers to the simultaneous addition of one polarization mode with another polarization mode, such as HV: horizontal transmission vertical reception and VH: vertical transmission and horizontal reception. Full polarization requires the simultaneous emission of H and V, i.e., HH/HV/VV/VH four polarization modes. The polarization of radar waves is sensitive to the dielectric constant, physical characteristics, geometric shape, orientation and the like of the target, so that the polarization measurement can greatly improve the acquisition capability of the imaging radar to various information of the target.
In the single-object optimization problem, any two solutions can be relatively good and bad, so that the optimal solution can be obtained finally. However, for the multi-object optimization problem, the quality of any two solutions cannot be compared, the optimal solution cannot be obtained, and only the optimal solution, or non-inferior solution, of Pareto (Pareto) can be obtained, so that an effective solution is obtained. Therefore, by adopting the Pareto optimal solution set, the contradiction between the coating position and the coating area of the wave-absorbing material and the RCS control effect can be effectively optimized.
In addition, the hot spot of the object reflects the intensity of the radar wave reflected by the surface of the object and can be normalized to a dimensionless variable, the hot spot is usually used in engineering to show that the surface of the object needs to be further optimized to the structure to improve the RCS value of the object, but the related technology is not found to utilize the hot spot to guide the coating method of the wave-absorbing material.
In order to determine an optimal solution between a coating area for coating a wave-absorbing material and RCS value control and realize multi-objective optimization for achieving a target RCS value by using the least wave-absorbing material, the application provides a method for determining a coating area of the wave-absorbing material, which is shown in figure 1 and comprises the following steps:
step 101: performing i-time radar wave incidence simulation by adopting a VV polarization mode to obtain a hot spot threshold alpha of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1.
Step 102: performing i times of radar wave incidence simulation by adopting an HH polarization mode to obtain a hot spot threshold value alpha of a target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1.
Step 103: an optimization objective of the minimization of the coating area, a first mapping function S according to the constraints on the RCS value of the target object vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and a Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.
In the embodiment of the application, if the RCS value of the target object is larger, but the shape of the target object cannot be changed, only the method of coating the wave-absorbing material is relied on, and at this time, if the RCS value is 100m 2 But the index is 70m 2 Therefore, the wave-absorbing material needs to be coated, and the RCS value is lower than 70m under the condition that the wave-absorbing material needs the minimum value in consideration of economy and the bearing capacity of a model 2 Therefore, 2 x i times of total radar wave incidence simulation is performed respectively through a VV polarization mode and an HH polarization mode, and a hot spot threshold value and a wave absorbing material of a target object are respectively establishedOf the coated area of (a) is vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And then, optimizing and calculating the two variables by utilizing a multi-objective optimization algorithm to obtain an RCS value and a Pareto optimal solution set of the coating area, so that a proper engineering solution is sought in the Pareto solution set based on actual engineering needs.
By adopting the method for determining the coating area of the wave-absorbing material, the mapping relation between the hot point threshold of the target object and the coating area of the wave-absorbing material is obtained, and then multi-objective optimization operation is carried out according to the constraint condition of the target object on the RCS value and the optimized target with the minimized coating area, so that the Pareto optimal solution set of the RCS value and the coating area is obtained, the control effect of RCS and the economy of the wave-absorbing material can be considered, the minimum coating amount of the wave-absorbing material is adopted under the condition of controlling the RCS value of the target object as much as possible, and the multi-objective optimal effect of controlling the RCS and minimizing the using amount of the wave-absorbing material is achieved.
In the embodiment of the present application, referring to fig. 2, the i-times radar wave incidence simulation is performed by using the VV polarization manner to obtain the hot spot threshold α of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) The method comprises the following steps:
step 201: starting from the horizontal plane with 0 DEG as the initial incidence direction, n DEG is sequentially increased, and i incidence angles are determined, wherein n is equal to 360 DEG/i.
Step 202: irradiating a target object with vertical radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation vi 。
Step 203: according to i hot spot simulation graphs P vi Establishing a hot spot threshold alpha of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi )。
Optionally, i is 72 °, n ° is 5 °, and the frequency of the fixed band is 8GHz.
In the embodiment of the present application, as shown in fig. 3 and 4, a simulation model of the target object in fig. 3 is established, a VV polarization method is adopted, 0 ° is used as an initial incident direction from a horizontal plane, an incident wave band is 8GHz, and the model is substituted into CST simulation software to obtain a hot spot simulation graph P of the target object v1 As can be seen from fig. 4, the areas with darker colors (hot spot value of 1) have higher reflection energy, and the areas with lighter colors (hot spot value of 0) have lower reflection energy, and the areas have lower efficiency or even no effect. While the hot spot threshold determines where the material is applied. For example, when the threshold value is 1, the wave-absorbing material is coated only on the inner circle elliptical region, and when the threshold value is 0.7, the wave-absorbing material is coated on the outer circle elliptical region, and when the threshold value is 0, it means that all regions in the model are coated with the wave-absorbing material. Therefore, in order to achieve good RCS control effect and reduce the dosage of the wave-absorbing material as much as possible, the value of the threshold value alpha (alpha is more than or equal to 0 and less than or equal to 1) is an important optimization design parameter.
Thus, for 0 ° angle of incidence, the hot spot simulation plot is P v1 At this time, a hot spot threshold α is set v1 For the first optimization variable, on the model surface, the hot spot threshold α v1 The coating area of the wave-absorbing material is S v1 Establishing a hotspot threshold α v1 The coating area with the wave-absorbing material is S v1 Mapping functional relation S v1 ＝f 1 (α v1 )。
Aiming at 5-degree incidence, the hot spot simulation chart is P v2 At this time, the hot spot threshold α is set v2 For the first optimization variable, on the model surface, the hot spot threshold α v2 The coating area of the wave-absorbing material is S v2 Establishing a hotspot threshold α v2 The coating area with the wave-absorbing material is S v2 Mapping functional relation S v2 ＝f 2 (α v2 )。
Repeatedly changing the angle to carry out radar wave incidence, increasing the incidence angle of 5 degrees each time, and obtaining the hot spot threshold alpha of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is 1, 2.. 72.
It should be noted that the hot spot simulation graphs obtained are different at different incidence angles, so that adjustment of incidence every 5 ° results in 72 hot spot simulation graphs in total.
Therefore, the vertical mapping relation between the hot spot threshold of the target object and the coating area of the wave-absorbing material is efficiently and accurately obtained through radar wave incidence simulation.
In the embodiment of the present application, referring to fig. 5, the HH polarization mode is adopted to perform i times of radar wave incidence simulation, so as to obtain the hot spot threshold α of the target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) The method comprises the following steps:
step 501: starting from the horizontal plane with an incidence direction of 0 DEG, n DEG are sequentially added, and i incidence angles are determined, wherein n is equal to 360 DEG/i.
Step 502: irradiating a target object with horizontal radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation Hi 。
Step 503: according to i hot spot simulation graphs P Hi Establishing a hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi First mapping relation function S Hi ＝h i (α Hi )。
Optionally, i is 72 °, n ° is 5 °, and the frequency of the fixed band is 8GHz.
In the embodiment of the present application, it can be known that, for 0 ° incidence, the hot spot simulation chart is P H1 At this time, a hot spot threshold α is set H1 For the first optimization variable, on the model surface, the hot spot threshold α H1 The coating area of the wave-absorbing material is S H1 Establishing a hotspot threshold α H1 The coating area with the wave-absorbing material is S H1 Mapping functional relation S H1 ＝f 1 (α H1 )。
Aiming at 5-degree incidence, the hot spot simulation chart is P H2 At this time, a hot spot threshold α is set H2 For the first optimization variable, on the model surface, the hot spot threshold α H2 The coating area of the wave-absorbing material is S H2 Establishing a hotspot threshold α H2 The coating area with the wave-absorbing material is S H2 Mapping function relation S of H2 ＝f 2 (α H2 )。
Repeatedly changing the angle to carry out radar wave incidence, increasing the incidence angle of 5 degrees each time, and obtaining the hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi First mapping relation function S Hi ＝f i (α Hi ) Wherein i is 1, 2.. 72.
It should be noted that the hot spot simulation graphs obtained are different at different incidence angles, so that incidence is adjusted every 5 degrees, and 72 hot spot simulation graphs are obtained in total.
Therefore, the horizontal mapping relation between the hot spot threshold of the target object and the coating area of the wave-absorbing material is efficiently and accurately obtained through radar wave incidence simulation.
In an embodiment of the present application, referring to fig. 6, the determining, by a multi-objective optimization algorithm, a Pareto optimal solution set of the RCS value and the coating area includes:
step 601: embedding the first mapping relation function S by using an Isight optimization design function vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi )。
Step 602: and calculating the RCS value, the hot spot threshold value and the coating area of the wave-absorbing material of the target object by utilizing CST software according to the constraint condition of the target object on the RCS value and the optimization target of minimizing the coating area.
Step 603: and forming a closed loop with the Isight optimization design function, performing joint simulation operation through the Isight optimization design function and CST software, and calculating in the Isight optimization design function through a multi-island genetic algorithm to obtain a Pareto optimal solution set.
In the embodiment of the application, a total of 144 sets of mapping relation functions of the hot spot threshold and the coating area are obtained, and meanwhile, a relation formula of a Pareto optimal solution set is designed:
(1) The constraints on the RCS values include: RCS value is less than or equal to 70 and alpha is less than or equal to 0 vi Alpha is not less than 1 and not more than 0 Hi ≤1；
(2) Optimizing the target: RCS and coating area minimization;
(3) First mapping relation function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi )。
Meanwhile, using an Isight optimization design function, embedding the 144 optimization design mapping variables, designating constraint conditions and optimization targets, using CST software to calculate the RCS value, the hot point threshold value and the coating area of the wave-absorbing material of the target object, then forming a closed loop with the Isight optimization design function, carrying out joint simulation operation through the Isight optimization design function and the CST software, and calculating in the Isight optimization design function through a multi-island genetic algorithm to obtain a Pareto optimal solution set.
The Isight optimization design function is a simulation analysis process automation and multidisciplinary multi-target optimization tool, provides a visual flexible simulation process platform, and simultaneously provides a docking interface with various mainstream CAE analysis tools. Meanwhile, a complete set of optimization software packages such as a test design, an optimization method, an approximate model and a six-sigma design are provided to help a user to deeply and comprehensively know the design space of a product and clarify the relation between design variables and design targets, so that the multidisciplinary and multi-target optimization design is realized.
CST is three-dimensional electromagnetic field simulation software. The software is a professional simulation software package which is comprehensive, accurate and extremely high in integration level and faces 3D electromagnetism, circuit, temperature and structural stress design engineers. The system comprises eight working room sub-software which are integrated in the same user interface, and provides complete system-level and component-level numerical simulation optimization for users. Software covers the whole electromagnetic frequency range, and complete time domain and frequency domain full-wave electromagnetic algorithm and high-frequency algorithm are provided. Typical applications include various co-simulations such as electromagnetic compatibility, antenna/RCS, high-speed interconnect SI/EMI/PI/eye diagram, cell phone, nuclear magnetic resonance, electrovacuum tube, particle accelerator, high power microwave, nonlinear optics, electrical, field path, electromagnetic-temperature and temperature-deformation. Thus, the Pareto optimal solution set can be accurately calculated.
In the embodiment of the present application, as shown in fig. 7, after determining the Pareto optimal solution set of the RCS value and the coating area through the multi-objective optimization algorithm, the method further includes:
step 701: and reversely selecting the final optimized design parameters of the target object from the Pareto optimal solution set.
Step 702: and determining the coating position and the coating area of the wave-absorbing material according to the final optimized design parameters of the target object.
In practical application, as shown in fig. 8, the Pareto optimal solution set is not a unique solution, but an optimal set under the constraint condition is satisfied, all solutions at the outermost circle are Pareto optimal solutions, and the RCS value is less than or equal to 70m under the constraint condition 2 And both the RCS value and the area of the coating region satisfy the requirements of non-inferior solutions. According to the illustration, the optimal design parameters are finally selected reversely:
α v1 ＝0.91，α v1 ＝0.82，...，α v72 ＝0.89；
α H1 ＝0.93，α H1 ＝0.87，...，α H72 ＝0.86；
finally, as shown by the black area at the ship board in the figure 9, the coating position and the coating area of the wave-absorbing material are determined to be 3% of the total area through one of the selected Pareto optimal solutions, and the RCS value is 68m 2 。
The method is based on a multi-objective optimization algorithm, adopts a multi-objective mature optimization method to solve the multi-objective optimization problem, and the optimization targets are the coating area and the RCS value of the wave-absorbing material and are realized by coating the wave-absorbing material in a certain area.
In the application, 144 hot spot graphs with optimized design variables of VV polarization and HH polarization are utilized to establish an injection relation corresponding to a threshold value and a coverage area, isight and CST software are combined to carry out optimization design, and the hot spot threshold value is provided as a coating basis of the wave-absorbing material.
Referring to fig. 10, the present application provides an apparatus for determining a coated area of a wave-absorbing material, including:
a first polarization module 1001 configured to perform i times of radar wave incidence simulation by using a VV polarization manner to obtain a hot spot threshold α of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1;
a second polarization module 1002 configured to perform i times of radar wave incidence simulation by adopting HH polarization mode to obtain a hot spot threshold α of the target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1;
a multi-objective optimization module 1003 configured to optimize an objective of coating region minimization according to a constraint condition of the objective object for RCS value, a first mapping function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and a Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.
Optionally, the first polarization module 1001 is specifically configured to:
sequentially increasing n degrees from the horizontal plane by taking 0 degree as an initial incidence direction, and determining i incidence angles, wherein n is equal to 360 degrees/i;
irradiating a target object with vertical radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation vi ；
According to i hot spot simulation graphs P vi Establishing a hot spot threshold alpha of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi )。
Optionally, the second polarization module 1002 is specifically configured to:
sequentially increasing n degrees from the horizontal plane by taking 0 degree as an initial incidence direction, and determining i incidence angles, wherein n is equal to 360 degrees/i;
irradiating a target object with horizontal radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation Hi ；
According to i hot spot simulation graphs P Hi Establishing a hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi First mapping relation function S Hi ＝h i (α Hi )。
Optionally, the multi-objective optimization module 1003 is specifically configured to:
embedding the first mapping relation function S by using an Isight optimization design function vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi )；
According to the constraint condition of the target object on the RCS value and the optimization target of minimizing the coating area, calculating the RCS value, the hot spot threshold and the coating area of the wave-absorbing material of the target object by utilizing CST software;
and forming a closed loop with the Isight optimization design function, performing joint simulation operation through the Isight optimization design function and CST software, and calculating in the Isight optimization design function through a multi-island genetic algorithm to obtain a Pareto optimal solution set.
Optionally, the multi-objective optimization module 1003 is further configured to:
reversely selecting the final optimized design parameters of the target object from the Pareto optimal solution set;
and determining the coating position and the coating area of the wave-absorbing material according to the final optimized design parameters of the target object.
According to the method and the device, the mapping relation between the hot point threshold value of the target object and the coating area of the wave-absorbing material is obtained, multi-objective optimization operation is carried out according to the constraint condition of the target object on the RCS value and the optimized target of the minimized coating area, and the Pareto optimal solution set of the RCS value and the coating area is obtained, so that the control effect of RCS and the economical efficiency of the wave-absorbing material can be considered, the minimum coating amount of the wave-absorbing material is adopted under the condition that the RCS value of the target object is controlled as far as possible, and the multi-objective optimal effect that the RCS is controlled to be optimal and the using amount of the wave-absorbing material is minimum is achieved.
As shown in conjunction with fig. 11, the present application provides a computing device including a processor (processor) 110 and a memory (memory) 111. Optionally, the apparatus may also include a Communication Interface (Communication Interface) 112 and a bus 113. The processor 110, the communication interface 112, and the memory 111 may communicate with each other via a bus 113. The communication interface 112 may be used for information transfer. The processor 110 may call logic instructions in the memory 111 to execute the method for determining the wave-absorbing material coating area according to the above embodiment.
In addition, the logic instructions in the memory 111 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 111 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 110 executes the program instructions/modules stored in the memory 111 to execute the functional application and data processing, namely, to realize the determination method of the wave-absorbing material coating area in the above embodiment.
The memory 111 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 111 may include a high-speed random access memory, and may also include a nonvolatile memory.
The application provides a storage medium which stores computer executable instructions, wherein the computer executable instructions are set to execute the method for determining the wave-absorbing material coating area.
The storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a portable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising a" \8230; "does not exclude the presence of additional like elements in a process, method or apparatus comprising the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims (10)

1. A method for determining a coating area of a wave-absorbing material is characterized by comprising the following steps:
performing i-time radar wave incidence simulation by adopting a VV polarization mode to obtain a hot spot threshold alpha of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1;
performing i times of radar wave incidence simulation by adopting an HH polarization mode to obtain a hot spot threshold value alpha of a target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1;
according to the constraint condition of the RCS value of the radar scattering cross section area of the target object, the optimized target of minimizing the coating area and the first mapping relation function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and the Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.
2. The method according to claim 1, wherein the i-times radar wave incidence simulation is performed by using a VV polarization mode to obtain a hot spot threshold α of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) The method comprises the following steps:
sequentially increasing n degrees from the horizontal plane by taking 0 degree as an initial incidence direction, and determining i incidence angles, wherein n is equal to 360 degrees/i;
irradiating a target object with vertical radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation vi ；
According to i hot spot simulation graphs P vi Establishing a hot spot threshold alpha of the target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi )。
3. The method according to claim 1, wherein the hot spot threshold α of the target object is obtained by performing i-times radar wave incidence simulation in the HH polarization mode Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) The method comprises the following steps:
sequentially increasing n degrees from the horizontal plane by taking 0 degree as an initial incidence direction, and determining i incidence angles, wherein n is equal to 360 degrees/i;
irradiating a target object with horizontal radar waves of a fixed wave band at each incident angle, and obtaining i hot spot simulation graphs P corresponding to the target object through CST simulation Hi ；
According to i hot spot simulation graphs P Hi Establishing a hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi First mapping relation function S Hi ＝h i (α Hi )。
4. The determination method according to claim 2 or 3, wherein i is 72, n ° is 5 °, and the frequency of the fixed band is 8GHz.
5. The method for determining according to claim 1, wherein the determining the Pareto optimal solution set of the RCS values and the coated area through a multi-objective optimization algorithm comprises:
embedding the first mapping relation function S by using Isight optimization design function vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi )；
According to the constraint condition of the target object on the RCS value and the optimization target of minimizing the coating area, calculating the RCS value, the hot spot threshold and the coating area of the wave-absorbing material of the target object by utilizing CST software;
and forming a closed loop with the Isight optimization design function, performing joint simulation operation through the Isight optimization design function and CST software, and calculating in the Isight optimization design function through a multi-island genetic algorithm to obtain a Pareto optimal solution set.
6. The method according to claim 5, wherein the constraint condition of the RCS value comprises: RCS value is less than or equal to 70 and alpha is less than or equal to 0 vi Alpha is not less than 1 and not more than 0 Hi ≤1。
7. The determination method according to claim 1, after determining the Pareto optimal solution set of the RCS values and the coated area through a multi-objective optimization algorithm, further comprising:
reversely selecting the final optimized design parameters of the target object from the Pareto optimal solution set;
and determining the coating position and the coating area of the wave-absorbing material according to the final optimized design parameters of the target object.
8. An apparatus for determining a coating area of a wave-absorbing material, comprising:
a first polarization module configured to perform i times of radar wave incidence simulation by adopting a VV polarization mode to obtain a hot spot threshold alpha of a target object vi Coating area S with wave-absorbing material vi First mapping relation function S vi ＝f i (α vi ) Wherein i is a positive integer greater than 1;
a second polarization module configured to perform incident simulation of the radar wave for i times by adopting HH polarization mode to obtain a hot spot threshold alpha of the target object Hi Coating area S with wave-absorbing material Hi Second mapping relation function S Hi ＝h i (α Hi ) Wherein i is a positive integer greater than 1;
a multi-objective optimization module configured to optimize an objective of coating region minimization according to a constraint condition of the objective object for RCS value, a first mapping relation function S vi ＝f i (α vi ) And a second mapping relation function S Hi ＝h i (α Hi ) And determining the RCS value and a Pareto optimal solution set of the coating area through a multi-objective optimization algorithm.
9. A computing device comprising a processor and a memory storing program instructions, wherein the processor is configured to carry out the method of determining a coated area of a wave-absorbing material according to any one of claims 1 to 7 when executing the program instructions.
10. A storage medium storing program instructions, wherein the program instructions when executed perform the method for determining a coated area of a wave-absorbing material according to any one of claims 1 to 7.
CN202210948821.2A 2022-08-09 2022-08-09 Method and device for determining coating area of wave-absorbing material Pending CN115422829A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210948821.2A CN115422829A (en) 2022-08-09 2022-08-09 Method and device for determining coating area of wave-absorbing material

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210948821.2A CN115422829A (en) 2022-08-09 2022-08-09 Method and device for determining coating area of wave-absorbing material

Publications (1)

Publication Number Publication Date
CN115422829A true CN115422829A (en) 2022-12-02

Family

ID=84196516

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210948821.2A Pending CN115422829A (en) 2022-08-09 2022-08-09 Method and device for determining coating area of wave-absorbing material

Country Status (1)

Country Link
CN (1) CN115422829A (en)

Similar Documents

Publication Publication Date Title
CN108445303B (en) Near-field electromagnetic scattering characteristic simulation method
CN106501778B (en) A kind of steady waveform design method of DMRS based on the optimization of radio frequency Stealth Fighter
CN107705359B (en) Channel modeling method and device using three-dimensional visual reconstruction technology
Klopf et al. Optimal modeling parameters for higher order MoM-SIE and FEM-MoM electromagnetic simulations
CN105005036A (en) Transmission loss compensation method used for short-range MIMO imaging
Chan et al. 3D printing your wireless coverage
CN109444837A (en) A kind of radar return emulation mode and device
Lu et al. Phase-only pattern synthesis based on gradient-descent optimization
CN107092017A (en) A kind of RCS Extrapolation methods being imaged based near field MIMO
CN109639329A (en) The only quick shaping method of phase weighting wave beam
CN115422829A (en) Method and device for determining coating area of wave-absorbing material
CN110046374B (en) Gaussian sound beam-based sound field calculation method
Upadhyay et al. An Artificial Intelligence Approach in 5G New Radio Beam Enhancement
Borries et al. Analysis of electrically large antennas using fast physical optics
Monemi et al. 6G Fresnel Spot Beamfocusing using Large-Scale Metasurfaces: A Distributed DRL-Based Approach
CN113376625A (en) Method and device for obtaining deviation angle of target object, electronic equipment and storage medium
CN111027173A (en) Bending tunnel electromagnetic modeling and simulation method based on improved SSFT algorithm
Gorji et al. Physical optics analysis for RCS computation of a relatively small complex structure
De Freitas et al. Joint inference of dominant scatterer locations and motion parameters of an extended target in high range‐resolution radar
Kasdorf et al. Some Advances in Shooting-Bouncing-Rays Asymptotic Propagation Methodologies
CN115508802B (en) Method and device for measuring RCS (radar cross section) by cylindrical surface near field
Ge et al. Horizontal diffraction based on parabolic equation with nonlocal boundary conditions
RU2804902C1 (en) Method for radio signal simulation
CN117221905A (en) Millimeter wave high-precision mixed channel modeling method, system, equipment and storage medium based on scattering effect
Huang et al. Research on the Coupling Mechanism of Creeping Waves Based on the Complex Planar Mesh Model

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination