赋形反射面天线的约束多目标优化设计研究
Constrained multi-objective optimization design study of shaped reflector antenna
杨承坤 1王九灵 2杨小凤 1杨旋 1郭庆功1
作者信息
- 1. 四川大学电子信息学院,成都 610065
- 2. 南京雷电信息技术有限公司,南京 210023
- 折叠
摘要
赋形反射面天线通常使用单目标优化算法进行设计,当期望波束特性具有多个相互冲突的目标和约束限制时,将无法确保输出最优解.为此,提出了该类天线的约束多目标优化方法.基于有希望区域优化和自适应约束位移密度估计的思想,设计一种新型双种群协同进化约束多目标优化算法DPBE,在基准测试套件与其他3种主流算法的对比表明,该算法具备更强的全局寻优性与稳定性.将该算法应用于19～21 GHz单偏置抛物反射面天线的平顶波束赋形中,并与单目标优化算法IWO和多目标优化算法NSGA-Ⅱ-DE在同型初始天线的不同优化模型下进行了性能对比,发现所提方法能在单次运行中满足所有约束条件并取得最佳结果.
Abstract
The design of shaped reflector antennas typically employs single-objective optimization algorithms.However,when the desired beam characteristics involve multiple conflicting objectives and constraints,it be-comes challenging to guarantee the attainment of the optimal solution.To address this issue,a constrained multi-objective optimization approach is proposed for the design challenges associated with such antennas.The novel dual-population cooperative evolution constrained multi-objective optimization algorithm,DPBE,is designed by incorporating the principles of promising area optimization and adaptive constraint shift-based density estimation.The proposed algorithm demonstrates exceptional global optimization performance and sta-bility,as evidenced by comparative experiments on benchmark test suites.Specifically,the DPBE is applied to the flat-top beam shaping of a 19～21 GHz single-offset parabolic reflector antenna.The performance com-parisons were conducted using the single-objective optimization algorithm IWO and the multi-objective opti-mization algorithm NSGA-Ⅱ-DE,considering different optimization models for an identical initial antenna.The results demonstrate that the proposed method successfully fulfills all constraints and attains optimal out-comes in a single execution.
关键词
赋形波束/反射面天线/约束多目标优化/协同进化/平顶波束Key words
Shaped beam/Reflector antenna/Constrained multi-objective optimization/Cooperative evolu-tion/Flat-top beam引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据