Antenna structure optimization design method and system

Abstract

The invention provides an antenna structure optimization design method and system, and relates to the field of antenna digital design, and the structure lightweight optimization design method comprises the steps: determining a structure model according to the structure installation demands of a composite material phased array antenna; determining design indexes and reliability requirements by taking the structural strength limit and the electrical performance design limit as design constraints; extracting design parameters and determining noise parameters; establishing a relationship among the design parameter, the noise parameter, the optimization target and the design constraint, and establishing an agent model; and carrying out reliability optimization design on the structure of the composite material phased-array antenna to determine a target solution which meets design constraints and represents corresponding design parameters. According to the invention, more thorough lightweight design of the phased-array antenna structure can be realized, the rigidity, strength and electrical performance index of the phased-array antenna can be ensured to meet the required high reliability, the design iteration period of the composite material phased-array antenna can be greatly improved, and the development cost is greatly reduced.

Description

Technical Field

[0001] The present application relates to the technical field of antenna digital design, and in particular to an antenna structure optimization design method and system. Background Art

[0002] Phased array antennas are usually composed of functional units such as antenna unit arrays, processing chassis, power chassis, transceiver modules, etc. These functional units are installed on the antenna structure composed of antenna array mounting plates and antenna back frames as the main load-bearing structure.

[0003] In related technologies, antenna structures are made of lighter metal materials such as aluminum alloys. Considering the good rigidity and light weight of composite materials, antenna structures based on composite materials have gradually become the mainstream in aerospace applications with strict weight requirements in recent years. Composite materials are very different from traditional single and uniform metal materials. Their structural dimensions and material mechanical properties are highly sensitive to the processing environment and manufacturing process, showing the typical characteristics of anisotropy and large dispersion of mechanical properties.

[0004] The traditional design method based on safety factor cannot take into account the uncertainty of composite material structure size and material mechanical properties, which easily leads to excessive stiffness and strength redundancy of composite material antenna structure and large weight margin. It cannot reflect the lightweight advantage of composite phased array antenna structure and is not conducive to its application in the aerospace field. Therefore, it is urgent to propose an antenna structure optimization design method and system that can take uncertainty into account. Summary of the invention

[0005] In response to the shortcomings of the prior art, the present application provides an antenna structure optimization design method and system, which solves the problems of difficulty in structural lightweight design of composite phased array antennas in aerospace applications, and difficulty in balancing reliability, stiffness, strength and lightweight.

[0006] To achieve the above objectives, this application is implemented through the following technical solutions: In a first aspect, an embodiment of the present application provides an antenna structure optimization design method, which includes: determining a corresponding structural model according to the structural installation requirements of a composite phased array antenna; taking the structural strength limit and electrical performance design limit of the composite phased array antenna as design constraints, determining the design indicators of the design constraints and the corresponding reliability requirements, and obtaining a limit state space based on the design constraints; extracting the design parameters of the composite phased array antenna according to the structural model, the design parameters including deterministic design parameters and random design parameters; determining the noise parameters of the composite phased array antenna that obey the random probability distribution, the noise parameters are related to the design constraints and include the prepreg ply direction, the single-layer prepreg thickness, and the position fluctuation of the antenna unit mounting point on the antenna unit mounting plate; based on the structural model, establishing the relationship between the design parameters, the noise parameters and the optimization objectives and the design constraints, and establishing an agent model; wherein the optimization objective is the structural weight of the composite phased array antenna; based on the noise parameters and the optimization objectives, taking the design parameters as variables and taking the limit state space as the optimization constraints, establishing a reliability optimization model; performing reliability optimization design on the structure of the composite phased array antenna to determine a target solution that meets the design constraints and characterizes the corresponding design parameters.

[0007] In the second aspect, an embodiment of the present application provides an antenna structure optimization design system, which includes: a first determination module, a second determination module, an extraction module, a third determination module, a first establishment module, a second establishment module and an optimization design module.

[0008] Specifically, the first determination module is used to determine the corresponding structural model according to the structural installation requirements of the composite phased array antenna; the second determination module is used to determine the design indicators of the design constraints and the corresponding reliability requirements based on the structural strength limit and electrical performance design limit of the composite phased array antenna as design constraints, and obtain the limit state space based on the design constraints; the extraction module is used to extract the design parameters of the composite phased array antenna according to the structural model, and the design parameters include deterministic design parameters and random design parameters; the third determination module is used to determine the noise parameters of the composite phased array antenna that obey the random probability distribution, and the noise parameters are related to the design constraints and include the prepreg ply direction, the single-layer prepreg thickness, and the antenna unit installation point position fluctuation on the antenna unit installation board; the first establishment module is used to establish the relationship between the design parameters, noise parameters, optimization objectives and design constraints based on the structural model, and establish an agent model; wherein the optimization objective is the structural weight of the composite phased array antenna; the second establishment module is used to establish a reliability optimization model based on the noise parameters and the optimization objectives, with the design parameters as variables and the limit state space as the optimization constraint; the optimization design module is used to perform reliability optimization design on the structure of the composite phased array antenna to determine the target solution that meets the design constraints and characterizes the corresponding design parameters.

[0009] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the antenna structure optimization design method in the first aspect is implemented.

[0010] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the antenna structure optimization design method in the aforementioned first aspect is implemented.

[0011] The present application provides an antenna structure optimization design method and system. Compared with the prior art, it has the following beneficial effects: When designing the design parameters, this application considers deterministic design parameters and random design parameters, and considers the uncertainty of the structural size and material mechanical properties of the composite phased array antenna; the design constraints include structural strength limit and electrical performance design limit, and the stiffness and strength index analysis of the antenna structure is performed in combination with the various loads borne by the antenna structure during service. Based on the stiffness and electrical performance of the antenna structure during the service stage, this application can take into account the uncertainty of the structural size and material properties, and perform rapid weight optimization of the antenna structure with the structural weight of the composite phased array antenna as the optimization target while ensuring the confidence level of the antenna structure performance. Compared with conventional design methods based on safety factors, this application can achieve a more thorough lightweight design of the phased array antenna structure, while ensuring that its stiffness and electrical performance indicators meet the required high reliability, which can greatly improve the design iteration cycle of the composite phased array antenna and significantly reduce the development cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 It is a flow chart of an antenna structure optimization design method provided in an embodiment of the present application; Figure 2 yes Figure 1 An exemplary process diagram of S150; Figure 3 yes Figure 1 Another exemplary flow chart of S150; Figure 4 is a schematic structural diagram of an exemplary composite material phased array antenna provided in an embodiment of the present application; Figure 5 It is a structural schematic diagram of an antenna structure optimization design system provided in an embodiment of the present application; Figure 6 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. Reference numerals: antenna unit mounting plate 101 ; antenna unit mounting hole 102 ; back frame 103 . DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0016] The embodiments of the present application provide an antenna structure optimization design method and system to solve the problems of difficulty in structural lightweight design of composite material phased array antennas in the current aerospace application field and difficulty in balancing reliability, stiffness, strength and lightweight.

[0017] The technical solution in the embodiment of the present application is to solve the above technical problems, and the overall idea is as follows: Phased array antennas are usually composed of functional units such as antenna unit arrays, processing chassis, power chassis, transceiver modules, etc. These functional units are installed on the antenna structure composed of antenna array mounting plates and antenna back frames as the main load-bearing structure.

[0018] In related technologies, antenna structures are made of lighter metal materials such as aluminum alloys. Considering the good rigidity and light weight of composite materials, antenna structures based on composite materials have gradually become the mainstream in aerospace applications with strict weight requirements in recent years. Composite materials are very different from traditional single and uniform metal materials. Their structural dimensions and material mechanical properties are highly sensitive to the processing environment and manufacturing process, showing the typical characteristics of anisotropy and large dispersion of mechanical properties.

[0019] The traditional design method based on safety factor cannot take into account the uncertainty of composite material structure size and material mechanical properties, which easily leads to excessive stiffness and strength redundancy of composite material antenna structure and large weight margin. It cannot reflect the lightweight advantage of composite phased array antenna structure and is not conducive to its application in the aerospace field. Therefore, it is urgent to propose an antenna structure optimization design method and system that can take uncertainty into account.

[0020] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0021] The following first introduces an antenna structure optimization design method provided in an embodiment of the present application.

[0022] A schematic diagram of a flow chart of an antenna structure optimization design method provided in an embodiment of the present application is as follows: Figure 1 As shown, the structural lightweight optimization design method may include the following steps S110-S170.

[0023] S110. Determine a corresponding structural model according to structural installation requirements of the composite material phased array antenna.

[0024] S120. Taking the structural strength limit and electrical performance design limit of the composite phased array antenna as design constraints, determine the design indicators of the design constraints and the corresponding reliability requirements, and obtain the limit state space based on the design constraints.

[0025] S130. Extract design parameters of the composite material phased array antenna according to the structural model, where the design parameters include deterministic design parameters and random design parameters.

[0026] S140, determine the noise parameters of the composite phased array antenna that obey random probability distribution, the noise parameters are related to the design constraints and include the prepreg ply direction, the thickness of a single prepreg layer, and the position fluctuation of the antenna unit mounting point on the antenna unit mounting plate. It can be understood that the noise parameters are non-optimizable parameters that obey random probability distribution, and the probability distribution of the noise parameters may be a common probability distribution such as normal distribution and Poisson distribution.

[0027] S150. Based on the structural model, the relationship between the design parameters, noise parameters, optimization objectives and design constraints is established, and a proxy model is established; wherein the optimization objective is the structural weight of the composite phased array antenna.

[0028] S160. Based on noise parameters and optimization objectives, a reliability optimization model is established with design parameters as variables and limit state space as optimization constraints.

[0029] S170. Perform reliability optimization design on the structure of the composite material phased array antenna to determine a target solution that meets the design constraints and characterizes the corresponding design parameters.

[0030] The above is a specific implementation method of an antenna structure optimization design method provided in an embodiment of the present application. It can be understood that when designing design parameters, the present application takes into account deterministic design parameters and random design parameters, and takes into account the uncertainty of the structural size and material mechanical properties of the composite phased array antenna; the design constraints include structural strength limits and electrical performance design limits, and the stiffness and strength index analysis of the antenna structure is performed in combination with the various loads borne by the antenna structure during service.

[0031] Based on this, this application can optimize the weight of the antenna structure quickly based on the rigidity and electrical performance of the antenna structure during the service phase, taking into account the uncertainty of the structural size and material properties, and taking the structural weight of the composite phased array antenna as the optimization target while ensuring the confidence level of the antenna structure performance. Compared with the conventional design method based on safety factor, this application can achieve a more thorough lightweight design of the phased array antenna structure, while ensuring that its rigidity and electrical performance indicators meet the required high reliability, which can greatly improve the design iteration cycle of the composite phased array antenna and significantly reduce the development cost.

[0032] It should be noted that the position fluctuation of the antenna unit installation point is caused by the manufacturing tolerance. The noise parameters will affect the design constraints of the phased array antenna, but the random parameters that cannot be optimized or are difficult to optimize are selected. , Single-layer carbon fiber cloth thickness , Antenna unit mounting point position machining error on the antenna unit mounting plate etc. are noise parameters.

[0033] In one example, the prepreg ply direction and the thickness of a single prepreg layer are related to the structural stiffness of the composite phased array antenna, and the position fluctuation of the antenna unit mounting point is related to the electrical performance of the composite phased array antenna.

[0034] It is understandable that the prepreg ply direction and the thickness of a single prepreg layer will affect the structural rigidity of the composite phased array antenna, and the position fluctuation of the antenna unit installation point will have a direct impact on the electrical performance of the composite phased array antenna. By determining the mean and variance of the prepreg ply direction, the thickness of a single prepreg layer, and the position fluctuation of the antenna unit installation point based on experience or experimental data, the design constraints and uncertainties of the composite phased array antenna structure can be calculated.

[0035] In some embodiments, the above-mentioned determining the corresponding structural model according to the structural installation requirements of the composite material phased array antenna, that is, the above-mentioned S110 may specifically include the following steps: S210. Obtain structural installation requirements of the composite material phased array antenna, where the structural installation requirements include installation interfaces and appearance envelopes of multiple stand-alone modules, where the multiple stand-alone modules include an antenna unit array, a power chassis, and a transceiver module.

[0036] S220. Based on the structural installation requirements, determine the structural design information of the composite material phased array antenna, where the structural design information includes the overall dimensions, composite material structure design, metal embedded parts position, and structural installation interface.

[0037] S230. Determine a structural model of the composite material phased array antenna according to the structural design information.

[0038] In the embodiments of the present application, it can be understood that the phased array antenna refers to an antenna that changes the shape of the radiation pattern by controlling the feeding phase of the radiating unit in the array antenna. Controlling the phase can change the direction of the maximum value of the antenna radiation pattern to achieve the purpose of beam scanning. The composite phased array antenna is equipped with multiple stand-alone modules. After determining the specific structural installation requirements, corresponding in-depth design can be carried out to obtain the corresponding structural model.

[0039] In one example, if Figure 4 As shown, the composite phased array antenna structure consists of an antenna unit mounting plate 101 and a back frame 103. The antenna unit mounting plate 101 is provided with array-distributed antenna unit mounting holes 102, and the antenna unit mounting holes 102 are used to install the antenna unit array. The back frame 103 is spliced ​​by carbon fiber hollow square tubes, and metal embedded parts are provided at the interface.

[0040] Exemplarily, the antenna unit mounting plate 101 can be a sandwich structure, and the two sides of the antenna unit mounting plate 101 are covered with carbon fiber cloth, which is laminated by multiple layers of carbon fiber prepreg. The middle layer of the antenna unit mounting plate 101 is foam material and is installed on the back frame by rivets.

[0041] In some embodiments, the design indicators of the structural strength limit include the maximum Mises stress, the maximum shear force of the composite core, the maximum strain and Tsai-Wu coefficient of the composite skin, and the buckling eigenvalue of the buckling failure of the rod or panel; the electrical performance design limit is used to characterize the overall electrical performance of the composite phased array antenna, and the corresponding design indicators include the radiation pattern, pointing angle deviation, gain loss and sidelobe lift.

[0042] In the embodiments of the present application, it can be understood that the present application considers the structural strength limit and the electrical performance design limit of the antenna in the design process of the composite phased array antenna; with respect to the structural strength limit, considering that the metal embedded parts in the antenna structure generally fail mainly due to plastic failure, the maximum Mises stress is used. As its strength limit; considering the various failure modes of composite materials in antenna structures, mainly foam core shear failure, skin damage failure, and carbon fiber square tube buckling instability failure, the composite foam core is based on the maximum shear force As the strength limit, the composite skin is subjected to the maximum strain and Tsai-Wu coefficient TW as the strength limit, the buckling failure of the carbon fiber square tube of the antenna structure is based on the buckling eigenvalue as the buckling instability limit.

[0043] Furthermore, with regard to the design limit of the electrical performance of the antenna, considering that the deformation of the phased array antenna structure during service will cause the position deviation of the antenna element installation point, thus affecting the electrical performance of the phased array antenna, this application uses the overall electrical performance index of the phased array antenna as the design limit of the phased array antenna structure. Specifically, the electrical performance adopts the pointing angle deviation , gain loss and sidelobe lift Based on indicators such as the strength limit and the electrical performance limit, the design reliability requirement can be determined to be 99.9%, thereby obtaining the limit state space of the phased array antenna structure based on the design constraints.

[0044] In some embodiments, the deterministic design parameters include: the diameter and length of the composite rod, the thickness and diameter of the antenna unit mounting surface; the random design parameters include: the longitudinal tensile modulus characterizing the mechanical properties of the single-layer carbon fiber cloth , weft tensile modulus , shear modulus and Poisson's ratio .

[0045] In the embodiment of the present application, it can be understood that the phased array antenna structure design parameters include deterministic design parameters and random design parameters. The design parameters are parameters that will have a direct impact on the design constraints and design goals of the antenna structure. According to the structural model, the antenna structure deterministic design parameters and random design parameters can be extracted. Deterministic design parameters are design parameters without uncertainty. The diameter of the carbon fiber square tube is selected. , Length (cross pipe) ,thickness , Antenna unit mounting plate foam thickness and carbon fiber skin thickness etc. as deterministic design parameters.

[0046] In addition, the random design parameters are design parameters with uncertainty. According to the uncertainty of composite material processing technology, the random design parameters are taken as the mechanical properties of single-layer carbon fiber cloth (i.e., the tensile modulus in the warp direction). , weft tensile modulus , shear modulus , Poisson's ratio ), all obey the normal distribution, and the mean and variance of the random design parameters can be determined based on experience or experimental data.

[0047] In some embodiments, the aforementioned S150 may specifically include the following steps: S310. Construct a corresponding finite element model based on the structural model of the composite material phased array antenna, where the structural model is a CAD model.

[0048] S320. According to the load conditions of the antenna structure in service state corresponding to the finite element model, a structural stiffness analysis is carried out to obtain strength analysis results and stiffness analysis results; the load conditions include acceleration overload, vibration, and deadweight that characterizes the optimization target.

[0049] S330. Extract strength indicators according to the strength analysis results to obtain the relationship between the design parameters, noise parameters and strength response.

[0050] S340. According to the stiffness analysis result, extract the position vector change of the antenna unit installation point during the service of the phased array antenna.

[0051] S350. Based on the change of the position vector and in combination with the noise parameters, the comprehensive change of the position vector of the antenna unit installation point is obtained, and the relationship between the design parameters, the noise parameters and the electrical performance constraints including the phased array antenna gain, the sidelobe level and the pointing angle deviation is determined.

[0052] In the embodiment of the present application, it can be understood that the design parameters, noise parameters (single-layer prepreg thickness, , Antenna unit installation point position processing error ) and optimization target (phased array antenna structure weight )’s relationship.

[0053] A finite element model of the composite phased array antenna structure is established, and a structural stiffness analysis is carried out according to the load conditions of the antenna structure in service. The structural strength and stiffness analysis results are obtained, and the strength index can be extracted to obtain the relationship between the design parameters, noise parameters and strength response.

[0054] According to the results of phased array antenna stiffness analysis, the position vector change of the antenna unit installation point during the service of the phased array antenna can be extracted. Combined with the noise parameters, the comprehensive change of the position vector of the antenna unit installation point can be obtained, thereby obtaining the relationship between the design parameters, noise parameters and the electrical performance constraints such as phased array antenna gain, sidelobe level, and pointing angle deviation.

[0055] In one example, the present application conducted an experimental study on the main design constraints, design parameters, noise factors, optimization objectives and their optimal values ​​in the design process of composite phased array antennas. For relevant data, please see Table 1.

[0056] Table 1 In one example, the electrical performance of the composite phased array antenna satisfies the expression: In the formula, is the phased array antenna pattern and is used to characterize the electrical performance indicators. is the excitation current loaded to the antenna element, is the radiation pattern of the antenna unit, represents the wave constant, is the wavelength, is the unit polarization vector, is the original position vector of the radiation unit, is the comprehensive change of the radiation unit position vector, is the number of the radiation unit, is the total number of radiating elements.

[0057] In some embodiments, the aforementioned S150 may further include the following steps: S410. Use the Latin hypercube sampling method to sample all design parameters and noise parameters to select sample points and obtain sampling results.

[0058] S420. According to the sampling results, a service condition calculation model with different design parameters and noise is established.

[0059] S430, calculating all service condition calculation models to obtain strength response and electrical performance response analysis results under the service conditions.

[0060] S440. Based on the strength response and electrical performance response analysis results, the design parameters and the corresponding index response values ​​are used as input and output, and the Kriging difference technology is used to fit and establish a deterministic Kriging proxy model.

[0061] In one example, the aforementioned reliability optimization model satisfies the expression: Where: For deterministic design variables, is the minimum value of the deterministic design variable, is the maximum value of the deterministic design variable; Design variables for randomness; is the noise parameter; is the mean of the random design variable, is the minimum value of the mean of the random design variable, is the maximum value of the mean of the random design variables; is the mean of the noise parameters; Optimizing the function for the target and characterizing the structural weight of the composite phased array antenna; For the The probability constraint function of the strength limit index is is the threshold value of the strength limit index, For the The probability of a strength limit index; For the The probability constraint function of the electrical performance limit index is is the threshold value of the electrical performance limit indicator, For the The probability of reaching the electrical performance limit indicator; and All are positive integers.

[0062] In some embodiments, the reliability optimization design of the structure of the composite material phased array antenna is performed to determine a target solution that satisfies the design constraints and characterizes the corresponding design parameters, that is, the aforementioned S170 may specifically include the following steps: S510. Decompose the reliability optimization design of the design parameters into reliability analysis and deterministic optimization by using the SORA method and perform iterative processing; wherein the reliability analysis is performed by using the Monte Carlo method.

[0063] S520. During the iterative analysis process, the response values ​​corresponding to different design variables in the proxy model are called each time, and it is determined whether the constraint conditions are met, and the solution that meets the constraint conditions is output as the target solution.

[0064] In some embodiments, the present application provides an antenna structure optimization design system 600, such as Figure 5 As shown, the structural lightweight optimization design system 600 may include the following modules: A first determination module 610 is used to determine a corresponding structural model according to the structural installation requirements of the composite material phased array antenna; The second determination module 620 is used to determine the design index and corresponding reliability requirements of the design constraints by taking the structural strength limit and the electrical performance design limit of the composite material phased array antenna as design constraints, and obtain the limit state space based on the design constraints; An extraction module 630 is used to extract design parameters of the composite material phased array antenna according to the structural model, where the design parameters include deterministic design parameters and random design parameters; A third determination module 640 is used to determine noise parameters of the composite phased array antenna that obey random probability distribution, where the noise parameters are related to the design constraints and include prepreg ply direction, single-layer prepreg thickness, and antenna unit mounting point position fluctuation on the antenna unit mounting plate; The first establishing module 650 is used to establish the relationship between the design parameters, noise parameters, optimization objectives and design constraints based on the structural model, and establish a proxy model; wherein the optimization objective is the structural weight of the composite material phased array antenna; The second establishing module 660 is used to establish a reliability optimization model based on the noise parameters and the optimization target, with the design parameters as variables and the limit state space as the optimization constraint; The optimization design module 670 is used to perform reliability optimization design on the structure of the composite material phased array antenna to determine a target solution that meets the design constraints and characterizes the corresponding design parameters.

[0065] In other optional embodiments, the present application provides an antenna structure optimization design system 600 which may also include a central processing module 680, which may be used to send control instructions to other modules and coordinate the actions of other modules. All other modules are connected to the central processing module 680 and accept its control instructions.

[0066] According to an embodiment of the present application, any multiple modules among the first determination module 610, the second determination module 620, the extraction module 630, the third determination module 640, the first establishment module 650, the second establishment module 660, the optimization design module 670 and the central processing module 680 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module.

[0067] In some embodiments, the first determining module 610 may be specifically configured to: Obtain the structural installation requirements of the composite phased array antenna, which include the installation interface and appearance envelope of multiple stand-alone modules, including antenna unit array, power chassis and transceiver module; Based on the structural installation requirements, determine the structural design information of the composite phased array antenna, which includes the overall dimensions, composite material structure design, metal embedded parts position and structural installation interface; The structural model of the composite phased array antenna is determined based on the structural design information.

[0068] In some embodiments, the first establishing module 650 may be specifically used to: The corresponding finite element model is constructed based on the structural model of the composite material phased array antenna, and the structural model is a CAD model; According to the load conditions of the antenna structure in service state corresponding to the finite element model, the structural stiffness analysis is carried out to obtain the strength analysis results and stiffness analysis results; the load conditions include acceleration overload, vibration and deadweight that characterizes the optimization target; Extract strength indexes based on strength analysis results to obtain the relationship between design parameters, noise parameters and strength response; According to the results of stiffness analysis, the position vector change of the antenna unit installation point during the service life of the phased array antenna is extracted; Based on the change of position vector and combined with noise parameters, the comprehensive change of position vector of antenna unit installation point is obtained, and the relationship between design parameters, noise parameters and electrical performance constraints including phased array antenna gain, sidelobe level and pointing angle deviation is determined.

[0069] In some embodiments, the first establishing module 650 may also be used to: All design parameters and noise parameters are sampled using the Latin hypercube sampling method to select sample points and obtain sampling results; According to the sampling results, the service condition calculation model with different design parameters and noise is established; Calculate all service condition calculation models to obtain strength response and electrical performance response analysis results under service conditions; Based on the analysis results of strength response and electrical performance response, the design parameters and the corresponding index response values ​​are taken as input and output, and the deterministic Kriging proxy model is established by fitting using the Kriging difference technology.

[0070] In some embodiments, the optimization design module 670 may be specifically used to: The reliability optimization design of design parameters is decomposed into reliability analysis and deterministic optimization by using SORA method and iterative processing is performed; among them, reliability analysis is performed by Monte Carlo method; During the iterative analysis process, the response values ​​corresponding to different design variables in the proxy model are called each time, and it is determined whether the constraints are met. The solution that meets the constraints is output as the target solution.

[0071] Figure 5 Each module in the system shown has the function of implementing each step in the aforementioned antenna structure optimization design method and can achieve its corresponding technical effect. For the sake of concise description, it will not be repeated here.

[0072] In some embodiments, the present application provides an electronic device, the structure diagram of the electronic device is as follows Figure 6 shown.

[0073] The electronic device may include a processor 710 and a memory 720 storing computer program instructions.

[0074] Specifically, the processor 710 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0075] The memory 720 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 720 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 720 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 720 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 720 is a non-volatile solid-state memory.

[0076] The memory 720 may include a read-only memory (ROM), a random access memory (RAM), a disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Therefore, generally, the memory 720 includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer executable instructions, and when the software is executed (e.g., by one or more processors), it can perform the operations described in any one of the antenna structure optimization design methods in the above-mentioned embodiments.

[0077] The processor 710 implements any one of the antenna structure optimization design methods in the above embodiments by reading and executing computer program instructions stored in the memory 720 .

[0078] In one example, the electronic device may further include a communication interface 730 and a bus 700. Figure 6 As shown, the processor 710, the memory 720, and the communication interface 730 are connected via a bus 700 and communicate with each other.

[0079] The communication interface 730 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application. Bus 700 includes hardware, software or both, and the parts of online data flow billing equipment are coupled to each other. For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-end bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 700 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0080] In addition, in combination with the antenna structure optimization design method in the above embodiment, the embodiment of the present application can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the antenna structure optimization design methods in the above embodiment is implemented.

[0081] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0082] The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0083] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0084] Aspects of the present disclosure are described above with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0085] In summary, compared with the prior art, this application has the following beneficial effects: 1. This application provides an antenna structure optimization design method that can perform rapid weight optimization of the antenna structure based on the rigidity and electrical performance of the antenna structure during the service phase, taking into account the uncertainty of the structural size and material properties. Compared with the conventional design method based on safety factors, this application can achieve a more thorough lightweight design of the phased array antenna structure, while ensuring that its rigidity and electrical performance indicators meet the required high reliability.

[0086] 2. This application provides a convenient, fast and effective method for the structural optimization design of composite phased array antennas, which can greatly improve the design iteration cycle of phased array antenna structures and significantly reduce development costs.

[0087] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing antenna structure design, characterized in that: include: Determine the corresponding structural model according to the structural installation requirements of the composite phased array antenna; Taking the structural strength limit and electrical performance design limit of the composite material phased array antenna as design constraints, determining the design indicators and corresponding reliability requirements of the design constraints, and obtaining the limit state space based on the design constraints; Extracting design parameters of the composite material phased array antenna according to the structural model, wherein the design parameters include deterministic design parameters and random design parameters; Determining noise parameters of the composite phased array antenna that obey random probability distribution, the noise parameters are related to the design constraints and include prepreg ply direction, single-layer prepreg thickness, and antenna unit mounting point position fluctuations on an antenna unit mounting plate; Based on the structural model, the relationship between the design parameters, the noise parameters, the optimization target and the design constraints is established, and a proxy model is established; wherein the optimization target is the structural weight of the composite material phased array antenna; Based on the noise parameters and the optimization target, a reliability optimization model is established with the design parameters as variables and the limit state space as optimization constraints; The structure of the composite material phased array antenna is subjected to reliability optimization design to determine a target solution that satisfies the design constraints and characterizes corresponding design parameters.

2. The antenna structure optimization design method according to claim 1, characterized in that: Determining the corresponding structural model according to the structural installation requirements of the composite material phased array antenna includes: Obtaining structural installation requirements of the composite phased array antenna, the structural installation requirements including installation interfaces and appearance envelopes of multiple stand-alone modules, the multiple stand-alone modules including an antenna unit array, a power chassis, and a transceiver module; Based on the structural installation requirements, determining structural design information of the composite material phased array antenna, the structural design information including external dimensions, composite material structural design, metal embedded parts positions, and structural installation interfaces; The structural model of the composite material phased array antenna is determined according to the structural design information.

3. The antenna structure optimization design method according to claim 1, characterized in that: The design indicators of the structural strength limit include the maximum Mises stress, the maximum shear force of the composite core, the maximum strain and Tsai-Wu coefficient of the composite skin, and the buckling characteristic value of the bar or panel buckling failure; The electrical performance design limit is used to characterize the overall electrical performance of the composite phased array antenna, and the corresponding design indicators include radiation pattern, pointing angle deviation, gain loss and side lobe lift; The deterministic design parameters include: the diameter and length of the composite rod, the thickness and diameter of the antenna unit installation surface; the random design parameters include: the warp tensile modulus that characterizes the mechanical properties of the single-layer carbon fiber cloth , weft tensile modulus , shear modulus and Poisson's ratio ; The prepreg ply direction and the single-layer prepreg thickness are related to the structural rigidity of the composite phased array antenna, and the position fluctuation of the antenna unit mounting point is related to the electrical performance of the composite phased array antenna.

4. The antenna structure optimization design method according to any one of claims 1 to 3, characterized in that: The method of establishing the relationship between the design parameters, the noise parameters, the optimization target and the design constraints based on the structural model, and establishing a proxy model includes: Constructing a corresponding finite element model based on the structural model of the composite material phased array antenna, wherein the structural model is a CAD model; According to the load conditions of the antenna structure corresponding to the finite element model in the service state, a structural stiffness analysis is carried out to obtain strength analysis results and stiffness analysis results; the load conditions include acceleration overload, vibration, and deadweight that characterizes the optimization target; Extracting intensity indicators according to the intensity analysis results to obtain the relationship between the design parameters, the noise parameters and the intensity response; According to the stiffness analysis results, extracting the position vector change of the antenna unit installation point during the service of the phased array antenna; Based on the position vector change, combined with the noise parameter, a comprehensive change of the position vector of the antenna unit installation point is obtained, and a relationship between the design parameter, the noise parameter and electrical performance constraints including phased array antenna gain, sidelobe level and pointing angle deviation is determined; Among them, the electrical performance of the composite material phased array antenna satisfies the expression: In the formula, is the phased array antenna pattern and is used to characterize the electrical performance indicators. is the excitation current loaded to the antenna element, is the radiation pattern of the antenna unit, represents the wave constant, is the wavelength, is the unit polarization vector, is the original position vector of the radiation unit, is the comprehensive change of the radiation unit position vector, is the number of the radiation unit, is the total number of radiating elements.

5. The antenna structure optimization design method according to claim 4, characterized in that: The method of establishing the relationship between the design parameters, the noise parameters, the optimization target and the design constraints based on the structural model, and establishing a proxy model, further includes: Using Latin hypercube sampling method to sample all the design parameters and the noise parameters to select sample points and obtain sampling results; According to the sampling results, a service condition calculation model with different design parameters and noise is established; Calculating all the service condition calculation models to obtain strength response and electrical performance response analysis results under the service conditions; Based on the analysis results of the intensity response and electrical performance response, the design parameters and the corresponding index response values ​​are used as input and output, and a deterministic Kriging proxy model is established by fitting using the Kriging difference technology.

6. The antenna structure optimization design method according to any one of claims 1 to 3, characterized in that: The reliability optimization model satisfies the expression: Where: For deterministic design variables, is the minimum value of the deterministic design variable, is the maximum value of the deterministic design variable; Design variables for randomness; is the noise parameter; is the mean of the random design variable, is the minimum value of the mean of the random design variable, is the maximum value of the mean of the random design variables; is the mean of the noise parameters; Optimizing the function for the target and characterizing the structural weight of the composite phased array antenna; For the The probability constraint function of the strength limit index is is the threshold value of the strength limit index, For the The probability of a strength limit index; For the The probability constraint function of the electrical performance limit index is is the threshold value of the electrical performance limit indicator, For the The probability of reaching the electrical performance limit indicator; and All are positive integers.

7. The antenna structure optimization design method according to any one of claims 1 to 3, characterized in that: The reliability optimization design of the structure of the composite material phased array antenna is performed to determine a target solution that satisfies the design constraints and characterizes corresponding design parameters, including: The reliability optimization design of the design parameters is decomposed into reliability analysis and deterministic optimization by using the SORA method and iterative processing is performed; wherein the reliability analysis is performed by the Monte Carlo method; During the iterative analysis process, the response values ​​corresponding to different design variables in the proxy model are called each time, and it is determined whether the constraint conditions are met, and the solution that meets the constraint conditions is output as the target solution.

8. An antenna structure optimization design system, characterized in that: include: A first determination module is used to determine a corresponding structural model according to the structural installation requirements of the composite material phased array antenna; The second determination module is used to determine the design index and corresponding reliability requirements of the design constraints by taking the structural strength limit and the electrical performance design limit of the composite material phased array antenna as design constraints, and obtain the limit state space based on the design constraints; An extraction module, used for extracting design parameters of the composite material phased array antenna according to the structural model, wherein the design parameters include deterministic design parameters and random design parameters; A third determination module is used to determine noise parameters of the composite phased array antenna that obey random probability distribution, wherein the noise parameters are related to the design constraints and include prepreg ply direction, single-layer prepreg thickness, and antenna unit mounting point position fluctuation on the antenna unit mounting plate; A first establishing module is used to establish the relationship between the design parameters, the noise parameters, the optimization target and the design constraints based on the structural model, and establish a proxy model; wherein the optimization target is the structural weight of the composite material phased array antenna; A second establishing module is used to establish a reliability optimization model based on the noise parameter and the optimization target, taking the design parameter as a variable and taking the limit state space as an optimization constraint; The optimization design module is used to perform reliability optimization design on the structure of the composite material phased array antenna to determine a target solution that meets the design constraints and characterizes corresponding design parameters.

9. An electronic device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the antenna structure optimization design method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the antenna structure optimization design method according to any one of claims 1 to 7 is implemented.

Images