CN106055824A - Self-adaptive optimized frequency point adjustment method for optimization design of electromagnetic functional material - Google Patents
Self-adaptive optimized frequency point adjustment method for optimization design of electromagnetic functional material Download PDFInfo
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Abstract
The invention relates to a frequency response characteristic-optimized frequency point adjustment technology, in particular to a self-adaptive optimized frequency point adjustment method for optimization design of an electromagnetic functional material. The method mainly comprises the steps of generating a target function according to an optimized frequency band and an optimization target and carrying out iterative operation on an optimized frequency point order sequence for more than once by an optimization algorithm to obtain an optimal individual; comparing a frequency response curve of the optimal individual with the optimization target, judging whether a frequency point which does not meeting the optimization target exists or not, if not, completing optimization, and if so, selecting n new optimized frequency points from the optimized frequency band; judging whether the n new optimized frequency points can be added to the optimized frequency point order sequence or not, if not, judging an optimization failure, and if so, sequentially adding the new optimized frequency points to the optimized frequency point order sequence and repeating the steps. By the method provided by the invention, the problem that the typical optimized frequency point meets the intended target, but the overall frequency band does not meet the intended target is effectively solved.
Description
Technical field
The present invention relates to a kind of frequency-response characteristic and optimize frequency regulation technology, in particular to electromagnetic functional material
Optimize the adaptive optimization frequency control method of design.
Background technology
Electromagnetic functional material, owing to possessing certain specific electromagnetic response feature, is widely used in various Functional Unit device,
Pivotal role is played, development and the shape of NPD projects to new and high technology in major fields such as information technology, electromagnetic protection, national defence
One-tenth has great importance.For obtaining electromagnetic functional material more wide-band, more excellent electromagnetic response feature, need according in advance
The electromagnetic response technical specification set, aspect carries out strict optimization design from material medium selection to stereochemical structure etc..Electromagnetism
Functional material optimization design is required for optimized algorithm and each of provides combination of media and the stereochemical structure of formation thereof, sets up multiple
Miscellaneous threedimensional model, calculates its electromagnetic response under a series of frequencies.For realizing the electromagnetism of certain electromagnetic response technical specification
Functional material optimization designs, and is required for a large amount of different model and carries out extensive Numerical Calculation of Electromagnetic Fields.Due to final optimization pass mesh
Mark is for certain frequency range, and this just requires that the electromagnetic functional material optimized is satisfied by pre-provisioning request in whole frequency range.But, real
During border optimizes, when calculating each individual goal function, it is impossible to calculate its electromagnetic response for frequencies all in frequency range, only
A small amount of typical case can be selected in band limits to optimize frequency, calculate the individual electromagnetic response feature at this optimization frequency, and with in advance
Set the goal contrast, forms object function.
Existing optimization method, generally according to predeterminated target situation, is chosen fixing typical case's optimization frequency and is optimized.This is just
Have a problem that, optimize after frequency is optimized according in advance selected typical case, it is thus achieved that optimum electromagnetic functional material in choosing
Fixed typical case optimizes frequency and all makes it, but in whole band limits, optimizes the optimum electromagnetic functional material obtained
Still can not make it in whole frequency range.
Summary of the invention
It is an object of the invention to provide the adaptive optimization frequency control method of a kind of electromagnetic functional material optimization design,
To solve present stage electromagnetic functional material process of optimization is only chosen fixing typical case's optimization frequency so that cannot ensure to obtain
The problem that the optimum electromagnetic functional material obtained is attained by predeterminated target in whole frequency range.
The invention provides the adaptive optimization frequency control method of a kind of electromagnetic functional material optimization design, comprising:
Step 1: the optimization frequency range provided according to user and optimization aim, chooses more than one initial typical case and optimizes frequency,
More than one initial typical case optimizes frequency and forms optimization frequency ordered sequence；
Step 2: selected optimized algorithm；
Step 3: objective function, and utilize described optimized algorithm, carry out more than once optimizing frequency ordered sequence
Interative computation, during until described object function is restrained slowly or reaches optimization aim, it is thus achieved that optimum individual；
Step 4: calculate described optimum individual electromagnetic response feature in described optimization frequency range, to obtain optimum individual
Frequency response curve；
Step 5: compare the frequency response curve of optimum individual and described optimization aim, it may be judged whether exist and be unsatisfactory for optimizing
The frequency of target, if it does not, optimized；If it does, carry out step 6；
Step 6: choose n new optimization frequency, n >=0 in optimizing frequency range；
Step 7: judge whether n new optimization frequency can add optimization frequency ordered sequence, if can not add, optimizes
Failure；If can add, carry out step 8；
Step 8: described new optimization frequency is added in an orderly manner optimization frequency ordered sequence, returns step 3.
In certain embodiments, being preferably, in described step 3, the convergence of described object function is slowly: continuously across M time
Iteration, object function decrease speed is not higher than δ, described M and δ and is preset value.
Described step 6 includes: according to frequency minimum spacing rule, choose N number of frequency in optimizing frequency range；By N number of frequency
Arrange from big to small according to the deviation of electromagnetic response curve with optimization aim, constitute biased sequence；Choose in described biased sequence
Front n frequency, be considered as new optimization frequency.Described frequency minimum spacing rule is: is added by new optimization frequency and optimizes frequency
After ordered sequence, the new adjacent frequency spacing optimizing frequency ordered sequence is more than △ f, △ f=(fmax-fmin)/C, fmax、fmin
Being respectively the highest frequency in described optimization frequency range and low-limit frequency, C is more than the constant value optimizing frequency number.
Described step 7 includes: as n=0, it is judged that in step 3, to restrain judgment rule slowly the most effective for object function；
If effectively, then reducing object function and restrain judgment rule slowly, n new optimization frequency can add the optimization orderly sequence of frequency
Row, enter step 8；If invalid, n new optimization frequency can not add optimization frequency ordered sequence, optimizes unsuccessfully；As n ＞ 0
Time, directly judge that n new optimization frequency can add optimization frequency ordered sequence, enter step 8.
Described object function restrains the most effective judgment mode of judgment rule slowly: if M is < Mmax, δ=0, then have
Effect is otherwise, invalid.Described reduction object function restrains judgment rule slowly: increases the value of iterations M, reduce target
The value of function decrease speed δ, the value of M is less than maximum iteration time M presetmax, δ >=0.
Described electromagnetic functional material is to have the electromagnetic response biomaterials meeting particular requirement in particular frequency range, bag
Include: absorbing material, electromagnetic shielding material, frequency selective material or AF panel material.How optimized algorithm is for studying in state
The method finding globe optimum in space, including: differential evolution algorithm, ant group algorithm or genetic Optimization Algorithm.
The adaptive optimization frequency control method of the electromagnetic functional material optimization design that the embodiment of the present invention provides, with existing
Technology is compared, and determines initial optimization frequency and target letter according to optimization aim (such as working frequency range, the electromagnetic property of different frequency range)
Number, then utilizes selected optimized algorithm, obtains optimum individual through certain number of iterations, and calculates this individuality in optimization frequency range
Interior electromagnetic response feature.By the frequency response curve of comparison optimum individual and described optimization aim, it may be judged whether meet excellent
Changing target, if meeting optimization aim, then having optimized, the method process is ended.If being unsatisfactory for optimization aim, then optimizing
Choose n new optimization frequency in frequency range, and judge whether n new optimization frequency can add optimization frequency ordered sequence, as
Fruit can not add, and optimizes unsuccessfully, and the method process is ended.If can add, new optimization frequency is added in an orderly manner optimization frequency
Point ordered sequence, and repeat above operation: objective function, interative computation, acquisition optimum individual and compare optimum individual
Frequency response curve and described optimization aim etc., what this method was gone round and begun again carries out aforesaid operations process, until meeting excellent
Change target or optimize unsuccessfully, and then, can be prevented effectively from and cause that pseudo-optimum mesh occurs owing to the typical case chosen optimizes frequency deficiency
Mark, solves typical case and optimizes frequency and meet predeterminated target but the overall problem being unsatisfactory for predeterminated target in whole frequency range.
Accompanying drawing explanation
Fig. 1 is the adaptive optimization frequency control method step of electromagnetic functional material optimization design in one embodiment of the invention
Rapid schematic diagram.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained on the premise of not making creative work, broadly falls into the scope of protection of the invention.
Frequency is optimized so that cannot for the electromagnetic functional material process of optimization of present stage is chosen fixing typical case
Ensureing that the optimum electromagnetic functional material obtained is attained by the problem of predeterminated target in whole frequency range, the present invention proposes one
The adaptive optimization frequency control method of electromagnetic functional material optimization design.As it is shown in figure 1, it specifically includes:
Step 1: the optimization frequency range provided according to user and optimization aim, chooses more than one initial typical case and optimizes frequency,
More than one initial typical case optimizes frequency and forms optimization frequency ordered sequence；Wherein, initial typical case optimizes frequency, whole for reflection
Optimize the Frequency point of the electromagnetic response feature that band limits requires, and for reflecting the optimization target values of described Frequency point；
Step 2: selected optimized algorithm；
Step 3: objective function, and utilize optimized algorithm, carry out above iteration to optimizing frequency ordered sequence
Computing, during until object function is restrained slowly or reaches optimization aim, it is thus achieved that optimum individual；
Step 4: calculate optimum individual electromagnetic response feature in optimizing frequency range, to obtain the frequency response of optimum individual
Curve；
Step 5: compare frequency response curve and the optimization aim of optimum individual, it may be judged whether exist and be unsatisfactory for optimization aim
Frequency, if it does not, optimized；If it does, carry out step 6；
Step 6: choose n new optimization frequency, n >=0 in optimizing frequency range；
Step 7: judge whether n new optimization frequency can add optimization frequency ordered sequence, if can not add, optimizes
Failure；If can add, carry out step 8；
Step 8: new optimization frequency is added in an orderly manner optimization frequency ordered sequence, returns step 3.
Selecting one or more optimized algorithms according to existing optimized algorithm in step 2, wherein optimized algorithm includes: poor
Dividing evolution algorithm, ant group algorithm or genetic Optimization Algorithm, the algorithm in the present invention is not limited to this several algorithms, it is also possible to be
Other algorithms in this area.Different Optimization algorithm may can complete the optimization of certain target, but may have by different user
The code of one or more optimized algorithms, the most also can be according to the spy of optimization aim He electromagnetic functional material to be optimized
Property, carry out selected optimized algorithm.Electromagnetic functional material is in particular frequency range, has the electromagnetism sound meeting particular requirement
Answer biomaterials, including: absorbing material, electromagnetic shielding material, frequency selective material or AF panel material etc..Further, electricity
The optimization aim of magnetic functional material is that user provides, i.e. user wishes optimised material is in what frequency range (optimization frequency range)
The electromagnetic response feature (optimization aim) having, produces object function according to this optimization aim.Object function refers to as reaching to use
The function that the optimization aim that family is specified is arranged, for portraying performance and the optimization mesh of user setup that the individuality of optimization shows
Mark performance has much difference, and usual difference is the biggest, and the target function value calculated is the biggest, and the target of optimization allows target function value exactly
Minimize.Such as: user require optimize material 1GHz～18GHz inhale ripple usefulness all at more than 10dB, have selected 1GHz, 8GHz and
18GHz is as optimizing frequency, and certain optimize individuality to calculate these 3 the suction ripple usefulness optimizing frequency is 2dB, 5dB and 11dB, as
Really objective function is:
Wherein, T is the target function value of definition；TiFor the object function of each optimization frequency point, fiFor optimize frequency,
If the frequency optimized in step 4-8 is varied from, then the object function that formula (1) defines is revised the most therewith.Formula (2) is expressed as:
If inhaling the target that ripple usefulness is better than setting, T under this frequencyiTake 0, otherwise take (R (fi)-R0(fi))2, R (f herei) and R0(fi)
It is respectively at Frequency point fiLower individual actual suction ripple usefulness and the target of setting.According to definition above, can be calculated this
Individual target function value is: T=(10-2)2+(10-5)2+ 0=89.The selection of object function can affect optimum results, at this
In the method for invention, object function is not changeless, but can constantly revise adjustment along with the carrying out of step 4-8, makes
The optimum individual meeting optimization aim must be found.In above-mentioned steps 3, utilizing selected optimized algorithm, to optimizing, frequency is orderly
Sequence carries out above interative computation, until object function convergence slowly or reaches optimization aim, it is thus achieved that optimum individual.This is
Excellent individuality refers to optimization material model (material selection, the three dimensional structure spy in optimizing frequency range with optimal electromagnetic response feature
Levy etc.).Wherein, object function convergence be slowly: continuously across M iteration, object function decrease speed be not higher than δ, M with
δ is preset value, and this preset value can determine according to optimization aim.
Above-mentioned steps 6 includes: according to frequency minimum spacing rule, choose N number of frequency in optimizing frequency range；By N number of frequency
Arrange from big to small according to the deviation of electromagnetic response curve with optimization aim, constitute biased sequence；Choose the front n in biased sequence
Frequency, is considered as new optimization frequency.Frequency minimum spacing rule is: is added by new optimization frequency and optimizes frequency ordered sequence
After, optimize the adjacent frequency spacing of frequency ordered sequence more than △ f, △ f=(fmax-fmin)/C, fmax、fminIt is respectively described excellent
Changing the highest frequency in frequency range and low-limit frequency, C is more than the constant value optimizing frequency number.Due to function solenoid material
In material process of optimization, it is impossible to be all observed optimizing the material model all frequencies in optimizing band limits with excellent
Changing, this needs the time grown very much, therefore can only select characteristic frequency point, optimizations material model is observed at this frequency and
Optimize.
Above-mentioned steps 7 includes: as n=0, it is judged that in step 3, to restrain judgment rule slowly the most effective for object function；
If effectively, then reduce object function and restrain judgment rule slowly, n new optimization frequency is added and optimizes the orderly sequence of frequency
Row, enter step 8；If invalid, n new optimization frequency can not add optimization frequency ordered sequence, optimizes unsuccessfully；As n ＞ 0
Time, directly judge that n new optimization frequency can add optimization frequency ordered sequence；Then n new optimization frequency adds in an orderly manner
Optimize frequency ordered sequence, enter step 8.
It is effective that object function restrains slow judgment rule, refers to that can not unrestrictedly reduce object function convergence slowly judges rule
Then, the most forever can not normally exit.Judgment rule is effective, refers to slowly sentence through repeatedly reducing object function convergence
After disconnected rule (M=M+ △ M, δ=δ △ δ), still meet M < Mmax, and δ=0.Object function restrains judgment rule slowly to be had
Effect, i.e. M < MmaxAnd δ=0, otherwise, invalid.Above-mentioned reduction object function restrains the operation of judgment rule slowly, for increasing repeatedly
The value of generation number M, the value of reduction object function decrease speed δ, the value of M is less than maximum iteration time M presetMax,I.e. M=M
+ △ M and M < Mmax, δ=δ-△ δ and δ >=0.For becoming apparent from understanding above-mentioned judgment rule scheme, provide following instance: according to excellent
Change target and optimize frequency range, initially defining M=10, δ=0.1, M according to practical situationmax=100, then it is assumed that 10 targets of iteration
On Decrease of Function is thought for object function convergence slowly in the case of being less than 0.1, now stop Optimized Iterative and find out optimum individual
Body, checks that this inhales whether ripple usefulness meets optimization aim in optimizing individual whole optimization frequency range, if be unsatisfactory for, inspection is
The no optimization frequency that there is a need to be newly added.If can not find, according to frequency minimum spacing rule, the optimization frequency being newly added, then drop
The slow judgment rule of low target function convergence, redefines M=20, δ=0.05, by that analogy, until M=100, δ=0,
Now object function restrains the inefficacy of slow judgment rule, optimizes unsuccessfully.
For this adaptive optimization frequency control method, it is provided that an instantiation: optimizing a kind of absorbing material, it is poor to utilize
Point evolution algorithm optimizes 3～10 layers of composite construction absorbing material of a kind of band frequency-selective surfaces, optimize frequency range be 1GHz～
18GHz, optimization aim be optimize in frequency range i.e. 1GHz～～18GHz in the range of, inhale ripple usefulness and be not less than 10dB.But optimized
Can not all be observed frequencies all in the range of 1GHz～18GHz and optimize in journey, this needs the time grown very much, therefore
5 initial typical cases can only be selected to optimize frequencies, such as 1GHz, 6GHz, 9GHz, 14GHz and 18GHz, 1GHz, 6GHz, 9GHz,
14GHz and 18GHz forms one and optimizes frequency ordered sequence, and initial typical case optimizes frequency and can be evenly distributed on optimization frequency
Section, the purpose of optimization is so that the suction ripple usefulness of these Frequency points selected all reaches more than 10dB.Find after iteration 160 times
Selected frequency is satisfied by optimization aim, but the frequency response curve comparing optimum individual finds with optimization aim, although these quilts
The frequency selected and the suction ripple usefulness of neighbouring frequency thereof reach more than 10dB, but 1.5GHz～4GHz, 7GHz～8.5GHz,
Its frequency response of 10GHz～12.5GHz all has deviation with predeterminated target, i.e. 1.5GHz～4GHz, 7GHz～8.5GHz,
More than 10dB is not reached in 10GHz～12.5GHz frequency range.This frequency of such as 2.7GHz is not chosen as typical frequencies point, but
The Practical Calculation of excellent individuality finds that it is inhaled ripple usefulness and is only 3dB.According to frequency minimum spacing rule, select frequency 2.7GHz with
7.7GHz inserts original optimization frequency ordered sequence, continues to optimize, and frequency selected by iteration 189 times is satisfied by target again, but
The relatively frequency response curve of optimum individual finds with optimization aim, in its frequency of 1.2GHz～2.3GHz, 3GHz～4.5GHz
Response is unsatisfactory for optimization aim, inserts frequency 1.7GHz Yu 3.7GHz and continues optimization, and frequency selected by iteration 214 times is satisfied by again
Target, the frequency response curve again comparing optimum individual finds zero deflection with optimization aim, and optimization completes.
These are only the preferred embodiments of the present invention, be not limited to the present invention, for those skilled in the art
For Yuan, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, any amendment of being made,
Equivalent, improvement etc., should be included within the scope of the present invention.
Claims (10)
1. the adaptive optimization frequency control method of an electromagnetic functional material optimization design, it is characterised in that including:
Step 1: the optimization frequency range provided according to user and optimization aim, chooses more than one initial typical case and optimizes frequency, described
More than one initial typical case optimizes frequency and forms optimization frequency ordered sequence；
Step 2: selected optimized algorithm；
Step 3: objective function, and utilize described optimized algorithm, carry out above iteration to optimizing frequency ordered sequence
Computing, during until described object function is restrained slowly or reaches optimization aim, it is thus achieved that optimum individual；
Step 4: calculate described optimum individual electromagnetic response feature in described optimization frequency range, to obtain the frequency of optimum individual
Response curve；
Step 5: compare the frequency response curve of optimum individual and described optimization aim, it may be judged whether exist and be unsatisfactory for optimization aim
Frequency, if it does not, optimized；If it does, carry out step 6；
Step 6: choose n new optimization frequency, n >=0 in optimizing frequency range；
Step 7: judge whether n new optimization frequency can add optimization frequency ordered sequence, if can not add, optimizes and loses
Lose；If can add, carry out step 8；
Step 8: described new optimization frequency is added in an orderly manner optimization frequency ordered sequence, returns step 3.
2. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 1, its feature exists
In, in described step 3, the convergence of described object function is slowly: continuously across M iteration, and object function decrease speed is not higher than
δ, described M and δ are preset value.
3. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 1, its feature exists
In, described step 6 includes:
According to frequency minimum spacing rule, in optimizing frequency range, choose N number of frequency；
N number of frequency is arranged from big to small according to the deviation of electromagnetic response curve with optimization aim, constitutes biased sequence；
Choose the front n frequency in described biased sequence, be considered as new optimization frequency.
4. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 3, its feature exists
In, described frequency minimum spacing rule is: being added by new optimization frequency after optimizing frequency ordered sequence, new optimization frequency has
The adjacent frequency spacing of sequence sequence is more than △ f, △ f=(fmax-fmin)/C, fmax、fminIt is respectively in described optimization frequency range
Altofrequency and low-limit frequency, C is more than the constant value optimizing frequency number.
5. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 1, its feature exists
In, described step 7 includes:
As n=0, it is judged that in step 3, to restrain judgment rule slowly the most effective for object function；If effectively, then reducing target
Function convergence judgment rule slowly, n new optimization frequency adds optimization frequency ordered sequence, enters step 8；If invalid, n
Individual new optimization frequency can not add optimization frequency ordered sequence, optimizes unsuccessfully；
As n ＞ 0, directly judge that n new optimization frequency can add optimization frequency ordered sequence, enter step 8.
6. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 5, its feature exists
In, described object function is restrained the most effective judgment mode of judgment rule slowly and is: if M is < Mmax, δ=0, effectively, the most no
Then, invalid.
7. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 5, its feature exists
In, described reduction object function is restrained judgment rule slowly and is: increases the value of iterations M, reduce reduction of speed under object function
The value of degree δ, the value of M is less than maximum iteration time M presetmax, δ >=0.
8. the adaptive optimization frequency control method of electromagnetic functional material optimization design as claimed in claim 1, its feature exists
In, described electromagnetic functional material is particular frequency range, there is the electromagnetic response biomaterials meeting particular requirement, including: inhale
Wave material, electromagnetic shielding material, frequency selective material or AF panel material.
9. the adaptive optimization frequency control method of the electromagnetic functional material optimization design as described in any one of claim 1-8,
It is characterized in that, described optimized algorithm is the method how research finds globe optimum in state space, including: difference is entered
Change algorithm, ant group algorithm or genetic Optimization Algorithm.
10. the adaptive optimization frequency control method of the electromagnetic functional material optimization design as described in any one of claim 1-8,
It is characterized in that, initial typical case optimizes frequency, for reflecting the Frequency point of the electromagnetic response feature of whole optimization band limits requirement,
And for reflecting the optimization target values of described Frequency point.
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| CN108805367A (en) * | 2018-07-17 | 2018-11-13 | 广东工业大学 | A kind of absorbing material optimal proportion design method based on adaptive ABC algorithms |
| CN111062134A (en) * | 2019-12-18 | 2020-04-24 | 哈尔滨工业大学 | Screening method of functional material element with optical, electric and thermal properties |
| CN111881643A (en) * | 2020-06-08 | 2020-11-03 | 北京智芯仿真科技有限公司 | Integrated circuit layout optimization method based on frequency domain electromagnetic response and capable of automatically starting and stopping process |
| CN111898332A (en) * | 2020-06-08 | 2020-11-06 | 北京智芯仿真科技有限公司 | Frequency domain simulation adaptive frequency point extraction and calculation method for very large scale integrated circuit |
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