Design of a Crooked-Wire Antenna by Differential Evolution and 3D Printing

被引:0
|
作者
Zhao F. [1 ]
Xu Q. [2 ]
Zeng S. [2 ]
机构
[1] Science and Technology on Blind Signal Processing Laboratory, United States
[2] China University of Geosciences, China
基金
中国国家自然科学基金;
关键词
Constrained Optimization Problem; Differential Evolution Algorithm; Small Satellite Antenna;
D O I
10.4018/IJCINI.20211001.oa8
中图分类号
学科分类号
摘要
Antenna design often requires dealing with multiple constraints in the requirements, and the designs can be modeled as constrained optimization problems (COPs). However, the constraints are usually very strange, and then the feasible solutions are hard to find. At the same time, the robustness for antenna design is an important consideration as well. To solve the above issues, the combination of differential evolution algorithm (DE) and 3D-printing technique is presented to design a new crookedwire antenna. In the design process, DE is adopted to handle the constraints since DE is simple and efficient in finding feasible solutions. The objective of the modeled COP, which is the sum of variance of the gain, axial ratio, and VSWR over the frequency band, is used to enhance the robustness of the antenna and widen the frequency band without additional computational cost. The precision of fabricating the antenna is ensured by using 3D-printing. The design of the NASA LADEE satellite antenna is chosen as an example to verify the method of this paper. Experimental results show that the performance of the evolved antenna meets the design requirements. © 2021 IGI Global. All rights reserved.
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