CN-122021003-A - Coaxial feeder collaborative design method, equipment and medium for multi-physical field coupling

CN122021003ACN 122021003 ACN122021003 ACN 122021003ACN-122021003-A

Abstract

The application discloses a coaxial feeder collaborative design method, equipment and medium with multiple physical field coupling, which comprises the steps of determining system electric working conditions required to be born by a feeder and limit boundary conditions of deployment environment according to target application scenes, correcting breakdown field intensity according to the limit boundary conditions, deriving minimum dimension constraint of a feeder conductor for inhibiting corona discharge by combining the system electric working conditions, establishing an optimization model taking impedance matching and transmission efficiency as optimization targets and taking target geometric dimension and physical constitution form of the feeder conductor as variables by taking the minimum dimension constraint as the boundary, adopting a numerical optimization algorithm to carry out iterative solution on the optimization problem model to obtain a preliminary design parameter set, carrying out environment adaptability verification on the preliminary design parameter set based on the limit boundary conditions, and determining a feeder design scheme according to the verified design parameter set. The application establishes a design link from environmental conditions to performance constraints and then from multi-objective optimization to environmental robustness verification.

Inventors

WU HUANING
PAN LI
AI WENCHENG
XIE HUI

Assignees

中国人民解放军海军工程大学

Dates

Publication Date: 20260512
Application Date: 20260121

Claims (10)

1. A coaxial feeder collaborative design method of multi-physical field coupling is characterized by comprising the following steps: Determining the electrical working condition of the system required to bear by the feeder line and the limit boundary condition of the deployment environment according to the target application scene; Correcting the breakdown field intensity according to the limit boundary condition, and deducing the minimum size constraint of the feeder line conductor for inhibiting corona discharge by combining the electrical working condition of the system; Establishing an optimization model taking the target geometric dimension and physical constitution form of the feeder conductor as variables by taking the minimum dimension constraint as a boundary and taking impedance matching and transmission efficiency as optimization targets; Carrying out iterative solution on the optimization problem model by adopting a numerical optimization algorithm to obtain a preliminary design parameter set; And verifying the environmental suitability of the preliminary design parameter set based on the limit boundary condition, and determining a feeder design scheme according to the verified design parameter set.
2. The method for collaborative design of multi-physical field coupled coaxial feed line according to claim 1, wherein the correcting breakdown field strength according to the limit boundary condition comprises: Extracting an air pressure value and a temperature value from the limit boundary condition; calculating an air density scale factor relative to standard conditions based on the air pressure value and the temperature value; And scaling and correcting the dielectric breakdown field intensity under the standard condition by utilizing the air density scale factor to obtain the actual breakdown field intensity suitable for the target environment.
3. The method of co-design of multiple physical field coupled coaxial feed lines according to claim 2, wherein said deriving minimum dimensional constraints of the feed line conductors suppressing corona discharge in combination with said system electrical operating conditions comprises: Calculating peak voltage of the feeder line during operation based on peak power and target impedance in the electrical operation condition of the system; Establishing a mathematical relationship between the maximum electric field intensity of the surface of the feeder conductor in the feeder and the peak voltage and the size of the feeder conductor; multiplying the corrected actual breakdown field intensity by a preset safety coefficient to obtain the maximum allowable working field intensity; Solving a feeder conductor dimension critical value which enables the maximum electric field intensity not to be larger than the maximum allowable working field intensity as the minimum dimension constraint.
4. The method for co-designing multiple physical field coupled coaxial feed lines according to claim 1, wherein when the physical constitution is a split-row multiple feed line conductor structure, establishing variables related to target geometric dimensions of the feed line conductors in the optimization model specifically comprises: determining single radius, root number and distribution radius of the inner layer branch feeder conductor, and calculating the inner layer equivalent radius according to the single radius, root number and distribution radius; determining the single radius, the number and the distribution radius of the outer layer branch feeder line conductors, and calculating the outer layer equivalent radius according to the single radius, the number and the distribution radius; And taking the inner equivalent radius and the outer equivalent radius as target variables for calculating electric field distribution and characteristic impedance in the optimization model.
5. The method for collaborative design of multi-physical-field-coupled coaxial feed lines according to claim 4, wherein the optimization model further includes a suppression requirement for electromagnetic leakage, comprising: calculating parameters representing the sealing degree of the structure according to the equivalent radius of the outer layer and the actual distribution radius of the outer layer branch feeder conductors; Taking the parameter which is not more than a preset threshold and is used for representing the sealing degree of the structure as a constraint condition of the optimizing model so as to control the electromagnetic leakage level.
6. The multi-physical field coupled coaxial feeder co-design method of claim 4, wherein the optimization model further comprises evaluating transmission efficiency and calculation of feeder conductor loss, specifically comprising: According to the working frequency and the feeder conductor material property in the electrical working condition of the system, calculating the skin depth of electromagnetic waves; calculating an effective conductive cross-sectional area of the feed line conductor based on the skin depth and the target geometry; and calculating the loss of the feeder conductor under high frequency according to the effective conductive sectional area, the length of the feeder conductor and the resistivity.
7. The method for collaborative design of multiple physical field coupled coaxial feed lines according to claim 1, wherein the performing environmental suitability verification on the preliminary design parameter set based on the limit boundary condition comprises: extracting a highest ambient temperature value from the limit boundary conditions; determining the resistivity of the feeder conductor at high temperatures based on the highest ambient temperature value and the temperature characteristics of the feeder conductor material; According to the resistivity at the high temperature, recalculating the transmission efficiency corresponding to the preliminary design parameter set; and judging whether the recalculated transmission efficiency meets the preset environmental adaptability index.
8. A multi-physical field coupled coaxial feed co-design apparatus, comprising: the boundary condition determining module is configured to determine the electrical working condition of the system and the limit boundary condition of the deployment environment, which are required to bear by the feeder line, according to the target application scene; a correction constraint module configured to correct the breakdown field strength according to the limit boundary condition and to derive a minimum size constraint of the feeder conductor suppressing corona discharge in combination with the system electrical operating condition; An optimization modeling module configured to establish an optimization model with a target geometry and physical constitution form of the feeder conductor as variables with the minimum size constraint as a boundary and with impedance matching and transmission efficiency as optimization targets; the iterative solution module is configured to carry out iterative solution on the optimization problem model by adopting a numerical optimization algorithm to obtain a primary design parameter set; And a verification output module configured to perform an environmental suitability verification of the preliminary design parameter set based on the limit boundary condition, and determine a feeder design from the verified design parameter set.
9. A multi-physical-field-coupled coaxial feeder co-design apparatus comprising at least one processing unit, and at least one storage unit, wherein the storage unit stores a computer program that, when executed by the processing unit, causes the processing unit to perform the steps of the multi-physical-field-coupled coaxial feeder co-design method of any one of claims 1-7.
10. A storage medium storing a computer program executable by a multiphysics coupled coaxial feeder co-design device, the computer program, when run on the multiphysics coupled coaxial feeder co-design device, causing the multiphysics coupled coaxial feeder co-design device to perform the steps of the multiphysics coupled coaxial feeder co-design method of any one of claims 1-7.

Description

Coaxial feeder collaborative design method, equipment and medium for multi-physical field coupling Technical Field The application relates to the technical field of feeder design, in particular to a coaxial feeder collaborative design method, equipment and medium with multiple physical field coupling. Background High power low frequency radio transmission systems, such as broadcast transmitters and large communication facilities, generally rely on coaxial feeds for efficient and reliable energy transmission. Such feeders typically operate at extremely high voltages and currents and are designed to ensure impedance matching, transmission efficiency, power capacity and long-term operational reliability, particularly at high altitudes, high temperatures, high humidity and other complex environmental conditions. Conventional design methods often have difficulty systematically reconciling the multiple requirements, resulting in design results that are susceptible to performance degradation and even failure in extreme environments. Currently, coaxial feed designs typically employ either stepwise or empirically-guided approaches. Firstly, the radius ratio of the inner conductor and the outer conductor of the feeder line is preliminarily determined according to the system impedance requirement and the basic power capacity. And then, independently checking indexes such as corona threshold, conductor current carrying capacity, thermal performance and the like according to an empirical formula or a simplified model. If a certain index is not satisfied, the size is locally adjusted and checked again until all indexes reach the basic requirement. For special forms such as split multi-conductor structures, the design often depends on special formulas or simulation tools for approximate analysis, and the result is independent of the whole design flow. However, the above-described existing design methods have significant limitations. Firstly, verification and optimization of each performance index are usually sequential or isolated, multi-objective cooperative balance cannot be realized in a unified model, local optimization is easy to fall into, and global optimal solution is difficult to obtain. Secondly, the influence of environmental factors on performance is usually considered as a post-safety factor, or only roughly corrected, and is not deeply integrated into the constraint modeling in the earlier stage, so that the actual performance of the feeder line under the limit environmental profile deviates from the design expectation, and the corona risk and the efficiency loss are underestimated. Especially for the selection and modeling of structural forms, the existing method lacks a modeling means which is universal, accurate and can be embedded into an automatic optimization flow, and fair comparison and preferential design of different structures under a unified framework are difficult to realize. Disclosure of Invention Aiming at least one defect or improvement requirement of the prior art, the invention provides a coaxial feeder collaborative design method, equipment and medium with multiple physical field coupling, which are used for solving the core problems that in the prior art, multiple targets such as corona suppression, impedance matching, transmission efficiency and the like are mutually restricted under a complex environment and are difficult to collaborative optimization, and environmental factors and structure selection type depth cannot be coupled into a unified automatic design flow, so that the problems of low design efficiency, poor reliability and difficulty in obtaining a global optimal solution are solved. To achieve the above object, according to a first aspect of the present invention, there is provided a coaxial feeder co-design method for multi-physical field coupling, including: Determining the electrical working condition of the system required to bear by the feeder line and the limit boundary condition of the deployment environment according to the target application scene; Correcting the breakdown field intensity according to the limit boundary condition, and deducing the minimum size constraint of the feeder conductor for inhibiting corona discharge by combining the electrical working condition of the system; Establishing an optimization model taking the target geometric dimension and physical constitution form of the feeder conductor as variables by taking the minimum dimension constraint as a boundary and taking impedance matching and transmission efficiency as optimization targets; carrying out iterative solution on the optimization problem model by adopting a numerical optimization algorithm to obtain a preliminary design parameter set; and verifying the environmental suitability of the preliminary design parameter set based on the limit boundary condition, and determining the feeder design scheme according to the verified design parameter set. In one possible implementation, the brea