Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-layer frequency selective surface wave-absorbing material modeling and optimization method based on neural network

A frequency-selective surface and neural network technology, applied in the field of optimal design of frequency-selective surface absorbing materials, can solve the problems of difficulty in manually adjusting parameters to meet the requirements, consumption, large labor cost and time, etc., to improve design and development efficiency, The effect of improving optimization efficiency and shortening design cycle

Active Publication Date: 2018-06-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, simply based on experience, adjusting parameters to design will consume huge labor costs and time
Moreover, the coupling relationship between each parameter is extremely strong, and it is often difficult to find a structure that meets the requirements by manually adjusting the parameters.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-layer frequency selective surface wave-absorbing material modeling and optimization method based on neural network
  • Multi-layer frequency selective surface wave-absorbing material modeling and optimization method based on neural network
  • Multi-layer frequency selective surface wave-absorbing material modeling and optimization method based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0033] A neural network-based frequency selective surface modeling optimization method, comprising the following steps:

[0034] In this embodiment, neural network modeling is performed on the equivalent R, L, and C parameters of the frequency selective surface of the hexagon;

[0035] Step 1: The geometric parameters of the frequency selective surface unit of the hexagon are the side length L and the period P; use the full wave simulation software to simulate the frequency selective surface, and obtain the S corresponding to the simulation of the corresponding geometric parameters of the frequency selective surface 11 parameter;

[0036] Step 2: Fitting R, L, and C parameters by genetic algorithm;

[0037] The frequency selective surface is equivalent to a transmission line model, and the equivalent circuit of the frequency selective surface is as fo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a multi-layer frequency selective surface wave-absorbing material modeling and optimization method based on a neural network, and belongs to the field of frequency selective surfaces and to the technical field of the wave-absorbing materials. The method comprises: establishing a first-order resonant circuit of a frequency selective surface based on a transmission line; obtaining an S11 parameter curve through full-wave simulation, and using a genetic algorithm to carry out curve fitting to obtain an RLC value; inputting a sufficient number of samples into a BP neural network to obtain a mapping relationship between the geometric parameters of the frequency selective surface unit and the equivalent RLC; and calculating the S11 parameters of the entire wave-absorbing structure through the equivalent transmission line, deriving the equivalent RLC of the frequency selective surface unit, and using the genetic algorithm to optimize the wave-absorbing bandwidth. The method disclosed by the present invention has the advantages of high accuracy and high optimization efficiency.

Description

technical field [0001] The invention belongs to the field of frequency selective surfaces and the technical field of wave-absorbing materials, and in particular relates to an equivalent circuit parameter modeling of frequency-selective surfaces and an optimal design method for designing frequency-selective surface wave-absorbing materials with broadband and low reflectivity. Background technique [0002] Absorbing materials are widely used in military stealth, along with the development of the electronics industry. Absorbing materials have been applied in the fields of electronic communication, electronic devices, energy saving and emission reduction, and radiation protection. [0003] Frequency selective surface (FSS) is a planar periodic array structure composed of scattering surfaces with specific shapes. Due to its special frequency response characteristics, it is widely used in antenna design, electromagnetic compatibility, radome, absorbing materials and other fields. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126G06F30/20G06F2113/24
Inventor 梁锋易宇杨振中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com