CN113051813A - Fractal antenna design method based on quantum head storm optimization algorithm - Google Patents
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Abstract
The invention discloses a fractal antenna design method based on a quantum head storm optimization algorithm, which comprises the steps of generating a fractal antenna design requirement, obtaining a central value of a typical design tolerance by adopting sub-variance clustering according to at least two design parameters of a corresponding copper-shaped fractal antenna as initial values, obtaining a corresponding graphene central value by adopting quantum head storm algorithm association entanglement intersection, optimizing, finally determining a true value of the error central value, and outputting a graphene shape corresponding to the copper shape. The initial value is processed by a sub-variance clustering algorithm and a quantum head storm algorithm in a mixed mode, hidden tolerance characteristic information is extracted deeply according to the design optimization relation of a high-dimensional entanglement correlation model in a quantum theory, the cutting size is confirmed, new plane evolution power is provided, an algorithm individual can escape from local optimization, and the problem that the exposed area of an antenna is small while the length of a feeder of the explosion-proof equipment is long is solved.
Description
Technical Field
The invention relates to the technical field of antennas, in particular to a fractal antenna design method based on a quantum head storm optimization algorithm.
Background
Coal mines are used as high-demand energy sources, a large amount of manpower and material resources are invested at home and abroad for collection, however, mine operation is performed in extremely deep underground, the deepest depth can reach about 1000 meters, mine safety measures are difficult to perfect, and even under the condition of standard operation as far as possible, coal mine accidents such as collapse, water permeation, gas explosion and the like still occur every year. Therefore, a scheme is that a robot is used for ore discharging, manual ore discharging is avoided, remote control can be achieved, possible personnel damage is greatly reduced, and operation safety is improved. The 6G which is popularized in recent years can play a role at this time, but the robot can emit various electromagnetic waves while operating the high-pressure coal mining machine to cause interference to a 6G base station, so that the invention provides a special parting antenna design method to help the 6G antenna to deal with high-pressure interference in explosion-proof equipment and the problem of a special electromagnetic wave blind spot in a narrow and small bending space of a mine.
The fractal antenna is commonly used for satellite telephones and special microblog communication, and is a very compact 6G antenna with multiband wireless or broadband. The geometry of a fractal antenna was defined by Madelbort in 1975 and is commonly used for various broadband applications. Fractal is a self-similar structure, i.e. the internal subdivision structure and the whole structure are the same geometric figures with different sizes, compared with a plane radiator, the fractal has the advantages that: at any microscopic scale, it has an excellent structure, can be easily described by conventional euclidean geometry, and has a simple recursive structure; in the aspect of practical application, the fractal antenna can effectively improve capacitance and inductance of input resistance distribution, reduce reflection by a non-complex self-similar structure, improve the energy absorption area, and meet the requirements of a light-weight antenna and improvement of radiation efficiency. The method has the defects that the process error is often large, the size change is large, and the factory requirements are difficult to meet. Therefore, the patent provides a design method of a parting antenna based on a quantum head storm optimization algorithm to solve the problems.
Disclosure of Invention
The invention provides a fractal antenna design method based on a quantum head storm optimization algorithm, which deeply extracts implicit tolerance characteristic information to confirm cutting size according to the design optimization relation of a high-dimensional entanglement correlation model in a quantum theory.
In order to achieve the purpose, the invention provides the following technical scheme: a fractal antenna design method based on a quantum head storm optimization algorithm is characterized in that all or part of a fractal antenna is made of graphene materials, and the fractal antenna is designed by adopting the following steps:
the method comprises the following steps: generating a design requirement of the fractal antenna, and taking at least two design parameters of the corresponding copper-shaped fractal antenna as initial values;
step two: carrying out sub-variance clustering processing on each design parameter by using a sub-variance clustering algorithm, and acquiring a central value of design tolerance of each design parameter;
which comprises the following steps: calculating the environmental fitness value of each design parameter, sequencing and recording the optimal individual, and taking the optimal individual as the central value of the design parameter cluster;
step three: and associating values after entanglement and crossing of each design parameter cluster by adopting a quantum head storm algorithm, wherein the values comprise:
a. judging whether each design parameter meets the termination condition of the quantum head storm algorithm;
b. if not, performing entanglement and cross processing on each recovery parameter through a quantum head storm algorithm, and turning to the second step;
c. and if so, importing all design parameters into a quantum head storm algorithm to obtain a corresponding graphene shape central value, optimizing the graphene shape central value, and outputting the graphene shape corresponding to the copper shape.
Preferably, the fractal antenna is partially made of graphene materials, and includes: the front surface of the antenna is made of graphene, the back surface of the antenna is made of copper or the center of the antenna is made of copper, and the periphery of the antenna is made of graphene or the copper antenna is covered with graphene.
Preferably, circular arc transition is used at each connection position of the fractal antenna.
Preferably, the content of the design requirement of the fractal antenna includes: determining the upper limit and the lower limit of the working frequency, calculating the proportion of the upper limit and the lower limit, and calculating the iteration times according to the proportion; and determining the number of the petals of the antenna according to actual requirements, and determining the corresponding fractal circular radiator.
Preferably, the fractal circular radiator of the fractal antenna comprises a stepped microstrip feeder line, an angular feed line, a semicircular transition connecting line and a special-shaped groove in a matching ground plane.
Preferably, the termination condition of the quantum brain storm algorithm comprises: maximum iteration times and preset maximum turns.
Compared with the prior art, the invention has the beneficial effects that: the antenna is made of the graphene material instead of a copper material completely or partially, is light and flexible, can obtain high heat dissipation, excellent chemical stability, mechanical stability and high conductivity, meets the working requirements of a mine, and is designed in such a way that all connecting parts are in circular arc transition so as to reduce internal reflection to the maximum extent. The method is suggested that the size of the existing copper antenna is used as an initial value of the graphene antenna, a value far away from the true value is selected in a non-blind mode, so that the time is saved, the time and the workload of optimization design are reduced, the initial value is processed in a mixed mode through a sub-variance clustering algorithm and a quantum head storm algorithm, the implicit tolerance characteristic information is extracted deeply according to the design optimization relation of a high-dimensional entanglement association model in the quantum theory, the cutting size is confirmed, new plane evolution power is provided, an algorithm individual can escape from local optimization, and the problem that the exposure area of the antenna is small while the length of a feeder line of the explosion-proof equipment is required is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a flow chart of Quantum brain storm optimization of the present invention;
FIG. 2 is a schematic structural diagram of the front face of the antenna shape of the present invention;
fig. 3 is a schematic diagram of the reverse structure of the antenna of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): a fractal antenna design method based on a quantum head storm optimization algorithm is characterized in that a fractal antenna is completely made of graphene, or in order to reduce cost, a part of the fractal antenna is made of graphene materials, the front side of the antenna is made of graphene, the back side of the antenna is made of copper or the center of the antenna is made of copper, the periphery of the antenna is made of graphene or the copper antenna is covered with graphene, the fractal antenna can be combined at will, and the method comprises the following steps:
the method comprises the following steps: generating a design requirement of the fractal antenna, and taking at least two design parameters of the corresponding copper-shaped fractal antenna as initial values;
wherein generating the fractal antenna comprises: determining the upper limit and the lower limit of the working frequency, calculating the proportion of the upper limit and the lower limit, and calculating the iteration times according to the proportion; the method comprises the steps of determining the number of petals of an antenna according to actual requirements, and determining a corresponding fractal circular radiator, wherein the fractal circular radiator of the fractal antenna comprises a step-shaped microstrip feeder line, an angular feed-in, a semicircular transition connecting line and a special-shaped groove matched with a ground plane.
Step two: carrying out sub-variance clustering processing on each design parameter through a sub-variance clustering algorithm, and acquiring a central value of design tolerance of each design parameter;
which comprises the following steps: calculating the fitness value of each design parameter, sequencing and recording the optimal individual, and taking the optimal individual as the central value of the design parameter cluster;
step three: and associating values after entanglement and crossing of each design parameter cluster by adopting a quantum head storm algorithm, wherein the values comprise:
a. judging whether each design parameter meets the termination condition of the quantum head storm algorithm; the termination condition comprises a maximum iteration number and a preset maximum number of turns;
b. if not, performing entanglement and cross processing on each recovery parameter through a quantum head storm algorithm, and turning to the second step;
c. and if so, importing all design parameters into a quantum head storm algorithm to obtain a corresponding graphene shape central value, optimizing the graphene shape central value, and outputting the graphene shape corresponding to the copper shape.
In order to reduce internal reflection to the maximum extent, the fractal antenna does not allow sharp corners in any form to exist, and all connection positions of the fractal antenna are in circular arc transition.
In a specific embodiment, as shown in fig. 1-3, showing a double-sided antenna with an arcuate geometry half height (a, b, c.), a feed neck width (x, y,) and ground (W, L.), and the basic procedure using Matlab code, the antenna' S reflection coefficient S11 (in dB) is the primary optimization objective function, the design step includes:
the design requirements for generating the copper-shaped fractal antenna are as follows:
the first step is as follows: firstly, determining an upper limit and a lower limit of an operating frequency, then calculating a ratio of the upper limit and the lower limit, and presetting according to the ratio, wherein the lower limit is Fd-3.5G, the upper limit is Fu-38G, the ratio is Rf-Fu/Fd-10.857, the ratio Rr of each iteration is 1.414, the iteration number N-log (Rf)/log (Rr) -6.88, namely 7 iterations;
the second step is that: the number of the petals is determined, and the petals are found according to actual requirements, wherein an even number of symmetrical petals are convenient to process, and the cost can be reduced; odd petals have good group delay characteristics, the performance of the antenna can be improved, the odd petals are only symmetrical to the center, the energy radiation is wide and uniform, the more the petals are, the more uniform the number is, but the higher the manufacturing cost is;
obtaining design parameters of a fractal antenna:
the third step: firstly, determining a tolerance Gi, k of the size of each iteration, wherein i represents the iteration number, and k represents the transition arc radius of the length and the intersection, and in the embodiment, the initial design radius is generally 2.718 times of the length e; then determining the tolerance Bj, k of the back and the feeder line, namely the flower stem, wherein j represents the serial number of the front and the back, and k represents the transition arc radius of the length and the intersection;
obtaining a design parameter central value:
the fourth step: all design parameters are expressed by complex numbers, the real part represents the size of the parameters (namely the height of the flowers such as a, b, c and the like in the figure is converted into the length of petals), and only takes positive numbers, and the imaginary part represents the tolerance of the parameters (namely the error range caused by the production process flow or positive or negative), which can be positive or negative, wherein the positive representation becomes large, the negative representation becomes small, the positive representation is represented by a left-handed quantum, and the negative representation is represented by a right-handed quantum.
In order to reduce the time and workload of optimization design, for initial parameters Gi, k and Bj, k, the size of the existing copper antenna is used as an initial value of the graphene antenna, so that the time is saved, and a value too far away from a true value does not need to be selected blindly;
after the quantum brain storm algorithm is adopted to associate the values after entanglement and intersection of the clustering of each design parameter, judging whether the parameters meet the termination condition of the quantum brain storm algorithm for judgment, as shown in the figure, judging whether the maximum iteration times are reached or not, judging whether the maximum number of turns is reached or not, and optimizing the conditions which are met; in this embodiment, the main calculation S11 parameter (return loss characteristic) is optimized, and software simulation calculation is adopted. In the optimization process, a elimination mechanism is determined, Pr is an evaluation function performance index of levorotation quantum optimization, Pl is an evaluation function performance index of dextrorotation quantum optimization, and dP is max (Pr, Pl) -min (Pr, Pl), and if the index of the levorotation quantum is higher than dextrorotation, the offspring of the dextrorotation is eliminated with the probability of 2 dP/(Pr + Pl), so that the BSO operation of quantum entanglement is completed, and the fast convergence is ensured without losing good offspring;
and outputting the graphene shape corresponding to the copper shape after the optimization is completed.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A fractal antenna design method based on a quantum head storm optimization algorithm is characterized in that all or part of a fractal antenna is made of graphene materials, and the fractal antenna is designed by adopting the following steps of:
the method comprises the following steps: generating a design requirement of the fractal antenna, and taking at least two design parameters of the corresponding copper-shaped fractal antenna as initial values;
step two: carrying out sub-variance clustering processing on each design parameter by using a sub-variance clustering algorithm, and acquiring a central value of design tolerance of each design parameter;
which comprises the following steps: calculating the environmental fitness value of each design parameter, sequencing and recording the optimal individual, and taking the optimal individual as the central value of the design parameter cluster;
step three: and associating values after entanglement and crossing of each design parameter cluster by adopting a quantum head storm algorithm, wherein the values comprise:
a. judging whether each design parameter meets the termination condition of the quantum head storm algorithm;
b. if not, performing entanglement and cross processing on each recovery parameter through a quantum head storm algorithm, and turning to the second step;
c. and if so, importing all design parameters into a quantum head storm algorithm to obtain a corresponding graphene shape central value, optimizing the graphene shape central value, and outputting the graphene shape corresponding to the copper shape.
2. The fractal antenna design method based on quantum head storm optimization algorithm according to claim 1, characterized in that: partly use graphite alkene material to make the fractal antenna, include: the front surface of the antenna is made of graphene, the back surface of the antenna is made of copper or the center of the antenna is made of copper, and the periphery of the antenna is made of graphene or the copper antenna is covered with graphene.
3. The fractal antenna design method based on quantum head storm optimization algorithm according to claim 1, characterized in that: and all the joints of the fractal antenna use circular arc transition.
4. The fractal antenna design method based on quantum head storm optimization algorithm according to claim 1, characterized in that: the design requirements of the fractal antenna comprise the following contents: determining the upper limit and the lower limit of the working frequency, calculating the proportion of the upper limit and the lower limit, and calculating the iteration times according to the proportion; and determining the number of the petals of the antenna according to actual requirements, and determining the corresponding fractal circular radiator.
5. The fractal antenna design method based on quantum head storm optimization algorithm as claimed in claim 4, wherein: the fractal circular radiator of the fractal antenna comprises a step-shaped microstrip feeder line, an angular feed-in, a semicircular transition connecting line and a special-shaped groove matched with the ground plane.
6. The fractal antenna design method based on quantum head storm optimization algorithm according to claim 1, characterized in that: the termination condition of the quantum head storm algorithm comprises the following steps: maximum iteration times and preset maximum turns.
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| CN115329970A (en) * | 2022-03-25 | 2022-11-11 | 量子科技长三角产业创新中心 | Fractal algorithm and verification device system for quantum gate inspection and measurement base determination |
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