CN115169282A - Power capacity prediction method and system for multi-cavity structure device - Google Patents

Power capacity prediction method and system for multi-cavity structure device Download PDF

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CN115169282A
CN115169282A CN202210928163.0A CN202210928163A CN115169282A CN 115169282 A CN115169282 A CN 115169282A CN 202210928163 A CN202210928163 A CN 202210928163A CN 115169282 A CN115169282 A CN 115169282A
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cavity
structure device
field intensity
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李世阳
邓建军
段治强
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Chengdu Aeronautic Polytechnic
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Chengdu Aeronautic Polytechnic
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F30/30Circuit design
    • G06F30/39Circuit design at the physical level
    • G06F30/398Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM]

Abstract

The application discloses a method and a system for predicting power capacity of a multi-cavity structure device, wherein the method comprises the following steps: constructing a passive circuit topological structure network according to the basic technical parameters of the multi-cavity structure device; calculating and analyzing the maximum energy storage of each single-cavity body in the passive circuit topological structure network under the input of unit power; then constructing a 3D single-cavity physical model of each single-cavity in the multi-cavity structural device; calculating the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy; calculating to obtain the maximum field intensity in the cavity of the multi-cavity structure device under the input of unit power according to the maximum stored energy of each single-cavity and the maximum field intensity in each single-cavity under the condition of storing unit energy; and then obtaining the power capacity of the multi-cavity structure device under the constraint of the air breakdown critical condition. The method and the device can improve the efficiency of product design and research from the design angle, and obviously reduce the research and development cost and the consumption of related resources.

Description

Power capacity prediction method and system for multi-cavity structure device
Technical Field
The application relates to the technical field of power capacity prediction, in particular to a method and a system for predicting power capacity of a multi-cavity structure device.
Background
In the fields of communication, electron, aviation, aerospace and the like, microwave/radio frequency devices such as filters, duplexers and the like with multi-cavity structures are widely applied. For these devices (especially high power applications), power capacity is an important technical indicator. The power capacity index of the device has problems, and the product engineering quality problems such as power breakdown, burning and the like of the device during working are easily caused. At present, for the design and development of the related power capacity index of such devices, some relatively ideal theoretical analysis of basic principles is usually adopted in technical means, some past product experiences are combined, some candidate technical schemes are obtained in advance, and then a large number of physical processing tests are used to optimize/improve the design from the schemes to obtain the required effective design scheme and technical parameters.
However, when the methods are used for power capacity index processing, actual physical characteristics such as multi-professional cross technologies and product materials/processes are involved in product design, and design guidance is performed by adopting conventional basic theoretical analysis and experience, so that a fine and practical design technical scheme is difficult to obtain. In the technical field of radio frequency microwave, the technical characteristics/rules of different types/structures of products are greatly different, and the past design experience is not universal and has considerable limitations; basic principle theoretical analysis, such as a common circuit network theory, often ignores many physical parameters (geometric shape/material/process, etc.) of a specific product, resulting in a large difference between the theoretical analysis and an actual situation, so that the product power capacity is simply analyzed by only relying on the basic principle, and as a result, the current product design cannot provide an accurate and quantitative technical support for the product design.
Due to requirements of product development cost/efficiency, quality risk control and the like, the current product development is supported by design technology. For the product design of the power capacity index, without the support of effective design technical means, the product design work cannot be carried out in a large number of trial and error modes, so that the design work related to the power capacity index of the product becomes very important and difficult work. In order to solve the technical problem of designing the power capacity index of the product, a design solution for effectively and accurately predicting the power capacity index of the product in engineering is found from the perspective of product engineering design.
In view of this, the present application is specifically made.
Disclosure of Invention
The technical problem that this application will solve is when designing multicavity structure device product, and current design technique can't carry out accurate engineering prediction to product power capacity index to cause adverse effect to research and development and production etc. of product in aspects such as efficiency, cost, quality risk. The application aims to provide a power capacity prediction method and a power capacity prediction system for a multi-cavity structure device, which can enable research and development personnel to accurately and quantitatively predict and master product power capacity indexes before actual processing, manufacturing and testing of products, so that a product design scheme can be effectively and accurately evaluated and optimized in a design stage, unnecessary trial and error tests are reduced, the product design and development efficiency is greatly improved, the research and development and production cost is reduced, and the quality risk of product batch production and application is controlled from a design angle.
The application is realized by the following technical scheme:
in a first aspect, a method for predicting power capacity of a multi-cavity structure device includes: constructing a passive circuit topological structure network of the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating and analyzing the maximum energy storage of each single-cavity in the passive circuit topological structure network under the input of unit power; constructing a 3D single-cavity physical model of each single-cavity in the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy; obtaining the maximum field intensity inside the cavity of the multi-cavity structure device under the input of unit power according to the maximum energy storage of each single-cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity inside each single-cavity under the condition that the 3D single-cavity physical model of each single-cavity is used for storing the unit energy; and obtaining the power capacity of the multi-cavity structure device under the constraint of an air breakdown critical condition according to the maximum field intensity in the cavity of the multi-cavity structure device under the unit power input.
In the prior art, in the process of developing and developing a multi-cavity structure device, some more ideal basic principle theoretical analysis is generally adopted, some previous product experiences are combined, some candidate technical schemes are obtained in advance, and then a large number of physical processing tests are used for optimizing/improving the design from the schemes to select the required design schemes and technical parameters. This operation mode is rarely adopted in the current mainstream microwave radio frequency product research and development work, but for the design of the power capacity index, because no effective design technology supports the current, a large amount of operation modes have to be adopted.
Before a multi-cavity structure device is manufactured, on one hand, a passive circuit topological structure network is constructed according to basic technical parameters of the multi-cavity structure device, and the maximum energy storage of each single-cavity under unit power input in the passive circuit topological structure network is calculated from the circuit theory analysis; on the other hand, according to the basic technical parameters of the multi-cavity structure device, a 3D single-cavity physical model of each single-cavity body in the multi-cavity structure device is constructed, and the three-dimensional physical structure is analyzed from the angle of electromagnetic resonance to calculate the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy; and obtaining the maximum field intensity inside the cavity of the multi-cavity structure device under the input of unit power according to the relationship between the maximum energy storage of each single-cavity under the input of unit power and the maximum field intensity inside each single-cavity under the input of unit energy. And then according to the corresponding proportional relation between the external input power and the internal field intensity, the corresponding maximum external input power when the internal maximum field intensity reaches the air breakdown field intensity can be estimated, and the maximum field intensity in the cavity of the multi-cavity structure device under the input of the unit power and the air breakdown critical field intensity value are combined for inspection, so that the power capacity of the multi-cavity structure device is obtained and determined.
The method respectively calculates and analyzes from the circuit theory analysis angle and the three-dimensional physical model structure angle, can carry out simulation analysis through a computer, and obtains the power capacity of the multi-cavity structure device through prediction in advance. Therefore, the waste of materials/manpower and the like caused by a large number of sample processing test/trial and error research and development working modes is avoided, the research and development time is saved, and the related cost is reduced.
Further, according to the maximum field intensity inside the cavity of the multi-cavity structure device under the unit power input, under the constraint of the air breakdown critical condition, the power capacity of the multi-cavity structure device is obtained, specifically: obtaining the air breakdown critical field intensity value of the multi-cavity structure device according to the basic technical parameters of the multi-cavity structure device; obtaining the maximum external input power of the multi-cavity structure device according to the air breakdown critical field intensity value of the multi-cavity structure device and the maximum field intensity in the cavity of the multi-cavity structure device under the input of the unit power; and according to the maximum external input power of the multi-cavity structure device, the maximum field intensity inside the cavity of the multi-cavity structure device under the input of the unit power and the air breakdown critical field intensity value are combined for inspection, so that the power capacity of the multi-cavity structure device is obtained and determined.
Furthermore, when the multi-cavity structure device is in an air breakdown critical state, the maximum field intensity inside the cavity of the multi-cavity structure device is equivalent to the field intensity value of air breakdown, the maximum field intensity does not exceed the field intensity of air breakdown, and the relative error is less than five per thousand. The value range of the air breakdown critical field intensity is 2.3MV/m-3MV/m, the corresponding working condition is the ambient atmospheric pressure of 1 standard atmospheric pressure, and the ambient temperature is normal temperature.
Further, calculating and analyzing the maximum energy storage of each single cavity in the passive circuit topology network under the input of unit power specifically includes: under the excitation of unit power input, the passive circuit topological structure network calculates and analyzes the voltage and the current of the passive circuit topological structure network by adopting kirchhoff's law or the resonance circuit principle to obtain the maximum energy storage of each single-cavity in the passive circuit topological structure network.
Further, calculating the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy specifically includes: when the 3D single-cavity physical model is under the condition of storing unit energy, calculating the electromagnetic resonance effect of the 3D single-cavity physical model by adopting a full-wave electromagnetic method to obtain the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy.
Further, according to the maximum energy storage of each single-cavity in the passive circuit topology network under the input of the unit power and the maximum field intensity inside each single-cavity of the 3D single-cavity physical model of each single-cavity under the condition of storing the unit energy, the maximum field intensity inside the cavity of the multi-cavity structure device under the input of the unit power is obtained, and specifically: respectively obtaining the maximum field intensity inside each single cavity in the multi-cavity structure device cavity under the input of unit power according to the maximum energy storage of each single cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity inside each single cavity under the condition that the 3D single-cavity physical model of each single cavity stores the unit energy; and respectively comparing the maximum field intensity in each single cavity, and taking the maximum field intensity in the single cavity with the maximum value as the maximum field intensity in the cavity of the multi-cavity structure device under the input of unit power.
Further, the basic technical parameters of the multi-cavity structure device include basic circuit principle parameters, 3D geometry/structure/size, material parameters, frequency, voltage/current, ambient temperature, and ambient atmospheric pressure.
Further, the multi-cavity structure device comprises a cavity filter, a duplexer, a frequency selection component or a multi-cavity resonator.
In a second aspect, a system for power capacity prediction for a multichamber structural device comprises: the device comprises an energy storage calculation module, a first field intensity analysis module, a second field intensity analysis module and a power capacity analysis module; the energy storage calculation module is used for constructing a passive circuit topological structure network of the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating and analyzing the maximum energy storage of each single-cavity body in the passive circuit topological structure network under the input of unit power; the first field intensity analysis module is used for constructing a 3D single-cavity physical model of each single-cavity body in the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy; the second field intensity analysis module is used for obtaining the maximum field intensity inside the cavity of the multi-cavity structure device under the input of unit power according to the maximum energy storage of each single-cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity inside each single-cavity of the 3D single-cavity physical model of each single-cavity under the condition of storing unit energy; and the power capacity analysis module is used for obtaining and determining the power capacity of the multi-cavity structure device under the constraint of an air breakdown critical condition according to the maximum field intensity in the cavity of the multi-cavity structure device under the input of the unit power.
Compared with the prior art, the application has the following advantages and beneficial effects:
according to the technical scheme, before the multi-cavity structure device is manufactured, the virtual passive circuit topological structure network and the three-dimensional physical model are constructed according to basic technical parameters of the multi-cavity structure device, the passive circuit topological structure network and the three-dimensional physical model are respectively calculated and analyzed, the air breakdown critical effect is considered, and therefore the power capacity of the multi-cavity structure device is obtained, the technical solution for accurately predicting the power capacity index of the product is provided from the product design angle, the product design and research efficiency is greatly improved, and the research and development cost and the consumption of related resources can be greatly reduced.
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In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that for a person skilled in the art, other related drawings can be obtained from these drawings without inventive effort. In the drawings:
fig. 1 is a schematic diagram illustrating steps of a power capacity prediction method of a multi-cavity structure device according to embodiment 1 of the present application;
fig. 2 is a schematic diagram of a circuit topology network corresponding to the multi-cavity device in embodiment 1 of the present application;
FIG. 3 is a schematic diagram of a cavity energy storage curve of a multi-cavity structure device in example 1 of the present application;
fig. 4 is a schematic 3D physical structure diagram of each single-cavity body in embodiment 1 of the present application.
Detailed Description
To make the purpose, technical solution and advantages of the present application more apparent, the present application is further described in detail below with reference to examples and drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present application and are not used as limitations of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to those of ordinary skill in the art that: it is not necessary to employ these specific details in order to practice the present application. In other instances, well-known structures, circuits, materials, or methods have not been described in detail so as not to obscure the present application.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the present application. Thus, the appearances of the phrases "one embodiment," "an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In the prior art, in order to improve the cost performance of products, a large number of (high-power) filters/duplexers and other products have strict requirements on indexes/volumes/material weights/costs and the like, which further provides higher challenges for the design and development of products. Because the power capacity index of a product is difficult to accurately and effectively predict by the prior art means, in order to control the product risk and the research and development period, research and development personnel have to reserve a large amount of design margin space for the power capacity index during product design, and accordingly, other indexes, the product cost and the like are adversely affected. Under the existing research and development technical conditions, in order to meet the technical requirements of the products, it is very difficult to search for a relatively suitable product technical scheme (development period/cost/product cost performance/mass stability) through design prediction evaluation. In order to solve the problem of engineering quantitative prediction and evaluation of power capacity indexes in the design process of the microwave/radio frequency multi-cavity structure device, the embodiment of the application provides a multi-professional crossed engineering design prediction and evaluation solution for a comprehensive circuit/electromagnetic field/engineering physical prototype technology and the like of microwave/radio frequency multi-cavity structure device design (power capacity indexes). By means of engineering analysis prediction evaluation of fusion of multiple professional technical processes, research personnel can effectively analyze and evaluate a product design scheme and obtain relatively accurate and quantized (power capacity index) technical index conditions before actual processing and manufacturing of a product; therefore, the technical scheme is optimized and optimized in advance through index comparison of engineering quantification of different schemes, so that the technical scheme can be optimized by avoiding repeated test/modification/iteration of a large number of physical samples in the stage of product research and design, and only a small amount of necessary product verification tests are reserved for product physical index verification.
Example 1
Embodiment 1 is a method for predicting power capacity of a multi-cavity structure device, and as shown in fig. 1, the method specifically includes:
1. evaluation of internal maximum energy storage level per external unit input power.
And constructing a passive circuit topological structure network of the multi-cavity structure device according to the basic technical parameters of the multi-cavity structure device. Under the excitation of unit power input, the passive circuit topological structure network adopts kirchhoff's law or the resonance circuit principle to calculate and analyze the voltage and the current of the passive circuit topological structure network, and the maximum energy storage Wmax of each single-cavity in the passive circuit topological structure network is obtained through calculation and analysis.
And calculating and analyzing the voltage and the current of the passive circuit topological structure network by using kirchhoff's law or a resonance circuit principle, and calculating and analyzing to obtain the maximum energy storage Wmax of each single-cavity in the passive circuit topological structure network.
According to the technical scheme of a multi-cavity structure device product, namely various basic technical parameters of the multi-cavity structure device, a corresponding circuit topological structure network is established, as shown in figure 2, the voltage and the current of the circuit network are analyzed and calculated by using a basic circuit theory (KCL/KVL)/resonance circuit principle and the like, the maximum energy storage Wmax of each cavity of the whole circuit topological structure network in the product working frequency band is obtained under the excitation of external input unit power (such as 1 watt), and the maximum value of the cavity energy storage curve in the product working frequency band is the maximum energy storage Wmax of the cavity, as shown in figure 3.
According to the embodiment of the application, from the perspective of circuit theory technology, a circuit analysis method is adopted to analyze and evaluate the resonance energy storage condition of the whole multi-cavity structure network of the product design scheme, and the maximum energy storage level of each cavity of the whole multi-cavity structure is determined under the excitation of external input unit power. The details of the analysis and evaluation process belong to the prior art, and those skilled in the art can refer to "parallel resonant circuit storage energy analysis" Zhang Qixiang, the journal of the zizakhart academy of education (natural science edition), and "recognitions on the definition of resonant circuit quality factor" Liu Songshan, the journal of the university of education in southwestern (natural science edition).
In the embodiment of the application, the maximum energy storage level Wmax of each cavity of the whole multi-cavity structure device is obtained through analysis, the effectiveness of analysis input depends on the correctness and rationality of principle design in product scheme design, and the analysis effect depends on the correct construction and analysis of a multi-cavity structure circuit topology network.
2. And each single-cavity body is evaluated based on the energy storage-field intensity analysis of the physical prototype.
Constructing a 3D single-cavity physical model of each single-cavity in the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; and calculating the maximum field intensity Esmax in each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy.
According to the technical scheme of a multi-cavity structure device product, namely various basic technical parameters of the multi-cavity structure device, a 3D single-cavity model based on a physical prototype is established, and the maximum field intensity Esmax of each single-cavity is analyzed by a full-wave electromagnetic method under the condition of unit energy storage (such as 1J/Joule).
When a multi-cavity structure device product is designed, the geometric structure/physical material and the like of each single-cavity are determined, and a 3D physical model of each single-cavity based on a physical prototype can be constructed according to a product design scheme, as shown in fig. 4. And (3) establishing and analyzing a 3D single-cavity model by adopting a full-wave electromagnetic algorithm (such as FDTD, FEM and the like). Through the electromagnetic resonance calculation and analysis of the 3D single-cavity model, the maximum field intensity Esmax of each single-cavity structure in the cavity in the working frequency range of the product under the condition of storing unit energy (such as 1J/Joule) is obtained.
In the embodiment of the application, from the perspective of an electromagnetic field theory technology, the energy storage-maximum field intensity characteristic of each single-cavity structure is analyzed by adopting a grid/discrete numerical calculation analysis method. The influence of actual physical characteristics of the actual cavity structure/material of the multi-cavity structure and the like on the performance of the product is fully considered, and the advantage of accurate analysis of the electromagnetic field method can be exerted. The specific details of the analysis and evaluation process belong to the prior art, and a person skilled in the art can refer to design and optimization of a six-cavity band-pass dielectric cavity filter Guo Qinwu, academic newspaper of inner Mongolia science and technology university, TE _ (021) mode high Q value filter design Xia Yafeng and electronic design engineering.
Because each single-cavity is based on the energy storage-field intensity analysis and evaluation of a physical prototype, the consideration of the analysis and evaluation on the physical details of an actual product is directly influenced, the requirement of ensuring the engineering prediction and evaluation precision is considered, the technical method/process and the like related to the step need to carry out necessary technical verification/calibration work such as test comparison and the like so as to check the reasonability and stability of the related technical method/process, simultaneously determine the stable model construction and analysis method process closely related to the engineering characteristics of the product, and standardize/standardize the process according to the practical requirement of the engineering.
The technical verification and calibration method comprises the following steps:
1) Firstly, analyzing electromagnetic data (electric field/magnetic field and other physical quantities, and also referring to the classical structure, theoretical data and the like) by using a classical regular cavity structure (standard geometric shape/material and the like) and an electromagnetic field analytic theory method, then constructing a physical model of the classical regular cavity structure by using basic technical parameters according to the classical regular cavity structure, and analyzing the electromagnetic data by using a full-wave electromagnetic algorithm. By comparing the electromagnetic data of the two, the usability and the universality of the physical model building and analyzing method/process of the step are determined, namely the physical model building method/process has no basic principle errors.
2) Secondly, by utilizing the existing mature product, namely the product with accurate and stable test data, according to the specific physical prototype (parameters such as geometry/material/processing technology) of the product, after the physical model is constructed and analyzed by the method of the step, the technical data of the test and the analysis are compared, the difference is analyzed, the reason is found, and the flow of the physical model construction and analysis method of the step is calibrated/optimized by combining the physical prototype of the product and the actual processing and manufacturing conditions, and effective standards and specifications are formed.
The technical verification and calibration method is combined with the energy storage-field intensity analysis and evaluation method of each single-cavity based on the physical prototype, so that the physical characteristics of the actual multi-cavity structure device product can be fully considered, and the precision and effectiveness of engineering analysis and evaluation are further improved.
3. And (3) analyzing and evaluating the maximum field intensity inside the cavity under the external unit input power.
Obtaining the maximum field intensity Ewmax inside the cavity of the multi-cavity structure device under the input of unit power according to the maximum energy storage Wmax of each single-cavity in the passive circuit topology structure network under the input of unit power and the maximum field intensity Ewmax inside each single-cavity under the condition that the 3D single-cavity physical model of each single-cavity is used for storing unit energy;
through the steps, the maximum energy storage level Wmax of each cavity of the whole multi-cavity structure under the excitation of external input unit power is obtained; and the maximum field intensity Esmax of the cavity in each single-cavity structure under the condition of storing unit energy is also obtained. Because the cavity energy storage W is in direct proportion to the square of the internal field intensity Emax, the maximum field intensity Ewmax correspondingly generated in the cavity of the multi-cavity structure under the excitation of external input unit power (for example, 1 watt) can be analyzed.
In the embodiment of the application, the maximum field intensity inside the cavity of the multi-cavity structure device means that the maximum field intensity value inside each single cavity is the maximum field intensity value; the maximum field intensity in each single-cavity in the multi-cavity structure device is the maximum field intensity value in a certain single cavity.
4. External input power (power capacity) assessment of the entire multi-cavity structure
And obtaining the power capacity of the multi-cavity structure device under the constraint of the air breakdown critical condition according to the maximum field intensity EWmax inside the cavity of the multi-cavity structure device under the unit power input.
According to the corresponding proportional relation between the external input power and the internal field intensity of the cavity of the multi-cavity structure device, the corresponding maximum external input power when the maximum field intensity EWmax reaches the air breakdown field intensity Ep can be calculated and evaluated, and therefore the power capacity index of the multi-cavity structure device is obtained.
The maximum field intensity Ewmax correspondingly generated inside the cavity under the excitation of external input unit power (such as 1 watt) of the multi-cavity structure is obtained. Since the external input power Pin is proportional to the square of the internal field strength Emax, the greater Pin. The maximum value of Emax can be referred to as the field strength value Ep (2.3 MV-3MV/m,1 standard atmosphere, ambient temperature) which leads to air breakdown. Therefore, the external maximum input power Pinmax corresponding to Ep can be derived according to Ewmax, ep and Pin, namely, the power capacity value obtained by analysis and evaluation in the development and design stage.
In the step, the parameters of the air breakdown are required to be adjusted according to the actual situation, and the conservative situation is generally 2.3MV/m. Due to the nonlinear effect of actual products, the influence of different batch product materials, processing technologies and the like, the power capacity evaluation value needs to be adjusted down by about 10% -20%.
In the embodiment of the present application, the basic technical parameters of the multi-cavity structure device or the basic technical parameters of the product refer to basic circuit principle parameters, 3D geometry/structure/size, material parameters, frequency, voltage/current, ambient temperature, and ambient atmospheric pressure of the multi-cavity structure device.
In the present embodiment, the multichamber structure device, i.e., the product of this embodiment, comprises: cavity filters, duplexers, frequency-selective components or multi-cavity resonators.
The principle of the embodiment of the application is based on the application of the physical relation between the external input power of the multi-cavity structure device and the energy storage, the field intensity and the like of the internal cavity. From the theoretical mathematical relationship:
relation W = (Emax)/(K1) of cavity stored energy and internal maximum field intensity
Relation between external input power and cavity energy storage: w = Pin × K2
Relationship Pin K2= (Emax)/(K1 ×) between external input power and internal field strength
Wherein: w represents cavity energy storage; emax represents the maximum field strength corresponding to the stored energy;
pin represents the external input power; k1 K2 may be considered constant for the same multi-cavity structure (same product scheme/same structure, material, process, etc.).
It can be seen that, for the same multi-cavity structure device, the cavity energy storage W and the external input power Pin are respectively in direct proportion to the square of the internal field intensity Emax, and the internal field intensity Emax is in direct proportion to the square root of the cavity energy storage W. Therefore, the external input power Pin is evaluated according to the basic conditions of the field intensity Emax and the stored energy W inside the cavity and considering the constraint requirement of the field intensity inside the cavity (air breakdown and the like).
In the embodiment of the application, the field intensity influence between the single cavities in the cavity of the multi-cavity structure device is smaller (the maximum field intensity influence of the single cavities is smaller), the influence between the single cavities in the cavity is mainly the influence of the energy storage distribution of the whole network of the plurality of cavities, and the influence can be reflected when the circuit topology analyzes the energy storage curve; the maximum field intensity under the unit energy (1J/joule) storage of the single cavity is not affected basically (the relation between the unit storage energy and the maximum field intensity is determined by the basic structure of the single cavity). However, when the maximum field strength of the whole structure is extracted, the maximum field strength/energy storage relation of a single cavity is actually combined with the maximum energy storage value of each cavity obtained by circuit topology analysis to analyze and obtain the maximum field strength value of the whole structure under unit power. The relation between the maximum field intensity in the single cavity and the unit energy storage (1J) is determined by the single cavity structure (not influenced by the outside and calculated and analyzed by an electromagnetic full wave algorithm), but the energy storage conditions of different single cavities are influenced by the whole topological structure and the adjacent cavities during actual work (the actual energy storage conditions of the single cavities are calculated and analyzed in a circuit network topological mode to obtain energy storage curves of different single cavities), and then the maximum field intensity in the whole multi-cavity structure under the unit power is calculated by combining the maximum field intensity of the single cavity with the relation between the unit energy storage (the single cavity with the most energy storage under the unit power) (obtained by the electromagnetic full wave algorithm calculation and analysis).
Before a multi-cavity structure device is manufactured, on one hand, a passive circuit topological structure network is constructed according to basic technical parameters of the multi-cavity structure device, and the maximum energy storage Wmax of each single-cavity under the input of unit power in the passive circuit topological structure network is calculated from the circuit theory analysis angle; on the other hand, according to the basic technical parameters of the multi-cavity structure device, a 3D single-cavity physical model of each single-cavity body in the multi-cavity structure device is constructed, and the three-dimensional physical structure is analyzed from the angle of electromagnetic resonance to calculate the maximum field intensity Esmax of each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy; and obtaining the maximum field intensity EWmax inside the cavity of the multi-cavity structure device under the input of unit power according to the relationship between the maximum energy storage Wmax of each single-cavity under the input of unit power and the maximum field intensity Esmax inside each single-cavity under the input of unit energy. And according to the corresponding proportional relation between the external input power and the internal field intensity E, the corresponding maximum external input power when the maximum field intensity EWmax reaches the air breakdown field intensity can be estimated, and the maximum field intensity inside the cavity of the multi-cavity structure device under the input of the unit power and the air breakdown critical field intensity value are combined for inspection, so that the power capacity of the multi-cavity structure device is obtained and determined.
The embodiment of the application adopts a technical means of combining circuit principle network analysis and full-wave electromagnetic field/physical prototype analysis (including engineering technology verification/calibration and the like of product physical characteristics), and overcomes the technical difficulty of accurate prediction analysis and evaluation of power capacity indexes from engineering during research and development design of a multi-cavity structure at present. Through the comprehensive application of multidisciplinary intersection technology, before the product is processed and manufactured, technical research personnel can be helped to relatively accurately analyze, predict and evaluate the power capacity index and the like of a multi-cavity structure product, so that the technical scheme (power capacity index) of the product is prevented from being designed by repeated test/modification/iteration of a large number of samples, and the design problem that the other indexes and cost of the product are influenced by excessive reserved allowance due to the fact that the power capacity index cannot be accurately grasped in the design scheme is prevented, so that the product performance can be further optimized, the product research and development period can be greatly shortened, and the product research and development cost can be saved.
According to the embodiment of the application, when the full-wave electromagnetic field theoretical method is adopted for physical prototype analysis of a product (design scheme), technical verification/calibration work such as a real object test is combined, and a work flow (flow standardization/normalization) is calibrated and optimized according to specific product application, so that the actual conditions of product processing and manufacturing are considered to the maximum extent during prediction and evaluation of the design scheme. In the product design stage, the influence of relevant engineering technical factors such as product processing and manufacturing technology/materials, batch production and the like on product indexes (power capacity indexes and the like) is considered, so that potential product technical risks are predicted in advance from the design angle and are controlled through a design scheme/a production and manufacturing process and the like, the yield of products is improved, and the product cost is reduced.
In addition, in the embodiment of the present application, the full-wave electromagnetic algorithm is an algorithm for solving the complete form of maxwell equation set. The full-wave electromagnetic algorithm belongs to an accurate electromagnetic calculation algorithm and is mainly divided into two categories of time domain and frequency domain: the current commonly used time domain algorithms mainly comprise FDTD (finite time domain difference), FIT (time domain integration), DGDT (discontinuous Galileo algorithm) and the like; the commonly used frequency domain algorithm mainly includes FEM (finite element), MOM (moment method), MLFMM (multilayer fast multipole), etc. The algorithms with better universality and stability mainly comprise FEM, FDTD, MOM and the like, wherein: FEM and FDTD are suitable for physical models of any structure and material, and can be used for open space and closed space calculation; the MOM is mainly used for physical structure analysis of metal materials and is only suitable for calculation of an open space in principle. For electromagnetic calculation of a 3D physical model of a cavity of a multi-cavity structure device, the method belongs to a typical closed space problem, and therefore algorithms which can be considered mainly comprise FEM, FDTD and the like. For the relevant specific theory of the full-wave electromagnetic algorithm, reference can be made to basic books relevant to the field of computational electromagnetism, such as "computational electromagnetism", scientific publishing, authors: wang Bing.
Example 2
The present embodiment 2 is a specific case of applying the method for predicting power capacity of a multi-cavity structure device of the embodiment 1 to a certain multi-cavity filter communication product for actual prediction of power capacity:
the original design of the product is analyzed according to the common experience and a simple theoretical formula at present, and a large margin space is reserved for the power capacity.
1. A multi-order filter circuit topological structure network is established according to product design, and the maximum energy storage Wmax =5.83E-9J of each cavity of the whole circuit topological structure network in a product working frequency band under the excitation of external input unit power (such as 1 watt) is obtained through circuit theory analysis.
2. A single-cavity 3D physical prototype structure based on a physical prototype is constructed, electromagnetic resonance calculation and analysis of the inner space of a cavity are carried out by adopting a full-wave electromagnetic algorithm (such as a time domain finite difference method FDTD, a finite element method FEM and the like), the maximum field intensity Esmax =5.77E9V/m appearing in the cavity in the working frequency range of a product is obtained under the condition that unit energy (such as 1J) is stored in each single-cavity structure, and the process can be analyzed and calculated by using field analysis software through gridding and Maxwell equations.
3. According to the preceding: the maximum energy storage Wmax of each cavity under the condition of externally inputting unit power and the maximum field intensity Esmax appearing inside the cavity under the condition of storing unit energy can be analyzed and calculated as follows: under the excitation of external input unit power (such as 1 watt), the maximum field strength Ewmax =4.4E4V/m correspondingly generated in the cavity.
4. According to the proportional relation between the external input power Pin and the maximum field intensity Emax inside the cavity, when the air breakdown critical effect is considered, EWmax = Ep (air breakdown field intensity, conservative value 2.3 MV/m) is taken, and the corresponding input power Pin =522 watts or so is calculated, namely the power capacity is about 522 watts or so (the actual power capacity of a product original design scheme sample test is about 480-550 watts, and the ratio of the predicted error to the actual measured error is small). The product design index requirement is about 100 watts, the product power capacity index design margin is very large by referring to the power capacity index predicted and evaluated by engineering, the product design scheme can be further optimized, and the product cost (larger power capacity requires larger volume space, more metal materials and better processing technology) can be reduced by controlling and reducing the product volume, the material input and the like under the condition that the index meets the requirement (a reasonable margin is reserved).
In this embodiment 2, before the product is processed and manufactured, research and development personnel can effectively quantitatively predict and evaluate the power capacity index of the multi-cavity structure (after the working method/process and the like are verified and calibrated by technology, the general error is within 10% -20%), which is more accurate and efficient than the existing technical design means, and the research and development cost is lower.
Example 3
This embodiment 3 is a system for predicting power capacity of a multichamber structure device based on embodiment 1, and includes: the device comprises an energy storage calculation module, a first field intensity analysis module, a second field intensity analysis module and a power capacity analysis module.
The energy storage calculation module is used for constructing a passive circuit topological structure network of the multi-cavity structure device according to the basic technical parameters of the multi-cavity structure device; and calculating and analyzing the maximum energy storage Wmax of each single-cavity in the passive circuit topological structure network under the input of unit power. Under the excitation of unit power input, the passive circuit topological structure network calculates and analyzes the voltage and the current of the passive circuit topological structure network by adopting kirchhoff's law or a resonance circuit principle to obtain the maximum energy storage Wmax of each single-cavity in the passive circuit topological structure network.
The basic technical parameters of the multi-cavity structure device include basic circuit principle parameters, 3D geometry/structure/size, material parameters, frequency, voltage/current, ambient temperature, and ambient atmospheric pressure.
The first field intensity analysis module is used for constructing a 3D single-cavity physical model of each single-cavity in the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; and calculating the maximum field intensity Esmax in each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy. And when the 3D single-cavity physical model is under the condition of storing unit energy, calculating the electromagnetic resonance of the 3D single-cavity physical model by adopting a full-wave electromagnetic method to obtain the maximum field intensity Esmax inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy.
And the second field intensity analysis module is used for obtaining the maximum field intensity EWmax inside the cavity of the multi-cavity structure device under the input of unit power according to the maximum energy storage Wmax of each single-cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity Esmax inside each single-cavity of the 3D single-cavity physical model of each single-cavity under the condition of storing unit energy. Respectively obtaining the maximum field intensity inside each single cavity of a multi-cavity structure device cavity under the input of unit power according to the maximum energy storage Wmax of each single cavity in the passive circuit topological structure network under the input of the unit power and the maximum field intensity Esmax inside each single cavity of a 3D single-cavity physical model of each single cavity under the condition of storing the unit energy;
and respectively comparing the maximum field intensity in each single cavity, and taking the maximum field intensity in the single cavity with the maximum value as the maximum field intensity EWmax in the cavity of the multi-cavity structure device under the input of unit power.
And the power capacity analysis module is used for obtaining the power capacity of the multi-cavity structure device under the constraint of the air breakdown critical condition according to the maximum field intensity EWmax inside the cavity of the multi-cavity structure device under the input of unit power. Obtaining the air breakdown critical field intensity value of the multi-cavity structure device according to the basic technical parameters of the multi-cavity structure device; the maximum external input power of the multi-cavity structure device is obtained according to the air breakdown critical field intensity value of the multi-cavity structure device and the maximum field intensity EWmax inside the cavity of the multi-cavity structure device under the input of unit power; and the device is also used for testing the maximum field intensity EWmax and the air breakdown critical field intensity value inside the cavity of the multi-cavity structure device under the input of the unit power according to the maximum external input power of the multi-cavity structure device to obtain the power capacity of the multi-cavity structure device. When the multi-cavity structure device is in an air breakdown critical state, the maximum field intensity EWmax inside the cavity of the multi-cavity structure device is equivalent to the field intensity value Ep of air breakdown, the maximum field intensity does not exceed the field intensity of air breakdown, and the relative error is less than five per thousand. The value range of the air breakdown critical field strength value Ep is 2.3MV/m-3MV/m, the corresponding working condition is the ambient atmospheric pressure of 1 standard atmospheric pressure, and the ambient temperature is normal temperature.
In this embodiment, the multi-cavity structure device includes a cavity filter, a duplexer, a frequency-selecting component, a multi-cavity resonator, or the like.
The above-mentioned embodiments, objects, technical solutions and advantages of the present application are described in further detail, it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present application, and are not intended to limit the scope of the present application, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present application should be included in the scope of the present application.

Claims (10)

1. A method for predicting power capacity of a multi-cavity structure device, comprising:
constructing a passive circuit topological structure network of the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating and analyzing the maximum energy storage of each single-cavity body in the passive circuit topological structure network under the input of unit power;
constructing a 3D single-cavity physical model of each single-cavity in the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy;
obtaining the maximum field intensity inside the cavity of the multi-cavity structure device under the input of unit power according to the maximum energy storage of each single-cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity inside each single-cavity under the condition that the 3D single-cavity physical model of each single-cavity is used for storing unit energy;
and obtaining the power capacity of the multi-cavity structure device under the constraint of an air breakdown critical condition according to the maximum field intensity in the cavity of the multi-cavity structure device under the unit power input.
2. The method for predicting the power capacity of the multi-cavity structure device according to claim 1, wherein the power capacity of the multi-cavity structure device is obtained under the constraint of an air breakdown critical condition according to the maximum field intensity inside the cavity of the multi-cavity structure device under the unit power input, and specifically comprises the following steps:
obtaining the air breakdown critical field intensity value of the multi-cavity structure device according to the basic technical parameters of the multi-cavity structure device;
obtaining the maximum external input power of the multi-cavity structure device according to the air breakdown critical field intensity value of the multi-cavity structure device and the maximum field intensity in the cavity of the multi-cavity structure device under the input of the unit power;
and according to the maximum external input power of the multi-cavity structure device, and by combining the maximum field intensity inside the cavity of the multi-cavity structure device under the input of the unit power and the air breakdown critical field intensity value, checking to obtain and determine the power capacity of the multi-cavity structure device.
3. The method of predicting power capability of a multichamber structural device as in claim 2, wherein when said multichamber structural device is in an air breakdown critical state, the maximum field strength inside the cavity of said multichamber structural device is equivalent to the value of the field strength of air breakdown, the maximum field strength does not exceed the field strength of air breakdown, and the relative error is less than five thousandths of an error.
4. The method according to claim 3, wherein the critical field strength value for air breakdown ranges from 2.3MV/m to 3MV/m, and the ambient atmospheric pressure and the ambient temperature correspond to 1 standard atmospheric pressure.
5. The method for predicting power capacity of a multi-cavity structure device according to claim 1, wherein the maximum energy storage of each single cavity in the passive circuit topology network is calculated and analyzed under the condition of unit power input of the passive circuit topology network, and the method specifically comprises the following steps
Under the excitation of unit power input, the passive circuit topological structure network calculates and analyzes the voltage and the current of the passive circuit topological structure network by adopting kirchhoff's law or a resonance circuit principle to obtain the maximum energy storage of each single-cavity in the passive circuit topological structure network.
6. The method for predicting the power capacity of the multi-cavity structure device according to claim 1, wherein the step of calculating the maximum field strength inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy comprises the following specific steps:
when the 3D single-cavity physical model is under the condition of storing unit energy, calculating the electromagnetic resonance effect of the 3D single-cavity physical model by adopting a full-wave electromagnetic method to obtain the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy.
7. The method for predicting the power capacity of the multi-cavity structure device according to claim 1, wherein the maximum field strength inside the cavity of the multi-cavity structure device at the input of unit power is obtained according to the maximum stored energy of each single-cavity in the passive circuit topology network at the input of unit power and the maximum field strength inside each single-cavity of the 3D single-cavity physical model of each single-cavity under the condition of storing the unit energy, and specifically:
respectively obtaining the maximum field intensity inside each single cavity in the multi-cavity structure device cavity under the input of unit power according to the maximum energy storage of each single cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity inside each single cavity under the condition that the 3D single-cavity physical model of each single cavity stores the unit energy;
and respectively comparing the maximum field intensity in each single cavity, and taking the maximum field intensity in the single cavity with the maximum value as the maximum field intensity in the cavity of the multi-cavity structure device under the input of unit power.
8. The method for predicting power capability of a multichamber structure device as in any of claims 1-7 wherein the fundamental technical parameters of said multichamber structure device comprise fundamental circuit principles parameters, 3D geometry/structure/dimensions, material parameters, frequency, voltage/current, ambient temperature, ambient atmospheric pressure.
9. The method of predicting power capacity of a multichamber structural device as in any of claims 1-7 wherein said multichamber structural device comprises a cavity filter, a duplexer, a frequency selective component or a multichamber resonator.
10. A system for power capability prediction for a multi-cavity structure device, comprising: the device comprises an energy storage calculation module, a first field intensity analysis module, a second field intensity analysis module and a power capacity analysis module;
the energy storage calculation module is used for constructing a passive circuit topological structure network of the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating and analyzing the maximum energy storage of each single-cavity body in the passive circuit topological structure network under the input of unit power;
the first field intensity analysis module is used for constructing a 3D single-cavity physical model of each single-cavity in the multi-cavity structure device according to basic technical parameters of the multi-cavity structure device; calculating the maximum field intensity inside each single-cavity body of the 3D single-cavity physical model under the condition of storing unit energy;
the second field intensity analysis module is used for obtaining the maximum field intensity inside the cavity of the multi-cavity structure device under the input of unit power according to the maximum energy storage of each single-cavity in the passive circuit topological structure network under the input of unit power and the maximum field intensity inside each single-cavity of the 3D single-cavity physical model of each single-cavity under the condition of storing unit energy;
and the power capacity analysis module is used for obtaining and determining the power capacity of the multi-cavity structure device under the constraint of an air breakdown critical condition according to the maximum field intensity in the cavity of the multi-cavity structure device under the input of the unit power.
CN202210928163.0A 2022-08-03 2022-08-03 Power capacity prediction method and system for multi-cavity structure device Pending CN115169282A (en)

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