基于插值算子自适应混合差分进化算法的八木天线优化设计
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摘要
本文采用插值算子自适应混合差分进化算法对六元八木天线进行优化设计。首先介绍了插值算子自适应混合差分进化算法的原理和实现流程,然后采用该算法优化设计了六元八木天线的增益,以振子的长度和振子的间距为优化变量,获得优于其它算法的结果。考虑工程实际的匹配阻抗问题,同时优化八木天线的增益和阻抗,同样获得了较优的结果。结果表明该方法可有效应用于八木天线的工程设计当中,为该类天线设计提供了新的设计方法。
In this paper, a six-element Yagi antenna is designed by novel self-adaptive hybrid differential evolution algorithm. Firstly, the theory and procedure of novel self-adaptive hybrid differential evolution algorithm is described. Then, the gain of six-element Yagi antenna is optimized by the algorithm while the length and space of the elements arm is acted as optimization variable, and the result is better than other algorithms. When considering practical problems, the gain and impedance are optimized simultaneously, and better results are gained. The results show that this method is suitable to design Yagi antenna in engineering design.
In this paper, a six-element Yagi antenna is designed by novel self-adaptive hybrid differential evolution algorithm. Firstly, the theory and procedure of novel self-adaptive hybrid differential evolution algorithm is described. Then, the gain of six-element Yagi antenna is optimized by the algorithm while the length and space of the elements arm is acted as optimization variable, and the result is better than other algorithms. When considering practical problems, the gain and impedance are optimized simultaneously, and better results are gained. The results show that this method is suitable to design Yagi antenna in engineering design.
引文
[1]魏文元.天线原理[M].北京:国防工业出版社,1995.
[2]E.A.Jones,and W.T.Joines,Design of Yagi-Uda antennas using genetic algorithms[J].IEEE Trans.Antennas Propag,1997,45:1386-1392
[3]S.Baskar,A.Alphones,P.N.Suganthan and J.J.Liang,Design of Yagi-Uda antennas using comprehensive learning particle swarm optimization[J].IEEE Microw.Antennas Propag.2006,152:340-346
[4]L.Zhang,Y.-C.Jiao,H.Li,and F.-S.Zhang,Antenna optimization by hybrid differential evolution[J].International Journal of RF and Microwave Computer Aided Engineering,2010,20(1):51-55
[5]T.Ni,Y.-C.Jiao,et al.Worst-case tolerance synthesis for low-sidelobe sparse linear arrays using a novel self-adaptive hybrid differential evolution algorithm[J].Progress in Electromagnetics Research B.2016,66:91-105.
[6]塞吉.N.马卡洛夫等.通信天线建模及其MATLAB仿真分析[M].北京:北京邮电大学出版社,2006.
[2]E.A.Jones,and W.T.Joines,Design of Yagi-Uda antennas using genetic algorithms[J].IEEE Trans.Antennas Propag,1997,45:1386-1392
[3]S.Baskar,A.Alphones,P.N.Suganthan and J.J.Liang,Design of Yagi-Uda antennas using comprehensive learning particle swarm optimization[J].IEEE Microw.Antennas Propag.2006,152:340-346
[4]L.Zhang,Y.-C.Jiao,H.Li,and F.-S.Zhang,Antenna optimization by hybrid differential evolution[J].International Journal of RF and Microwave Computer Aided Engineering,2010,20(1):51-55
[5]T.Ni,Y.-C.Jiao,et al.Worst-case tolerance synthesis for low-sidelobe sparse linear arrays using a novel self-adaptive hybrid differential evolution algorithm[J].Progress in Electromagnetics Research B.2016,66:91-105.
[6]塞吉.N.马卡洛夫等.通信天线建模及其MATLAB仿真分析[M].北京:北京邮电大学出版社,2006.