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基于无人机电力巡检的椭圆稀布阵列天线优化方法研究OA北大核心CSTPCD

Optimization method of elliptical sparse array antenna based on UAV electric patrol

中文摘要英文摘要

为了提高电力巡检无人机的电磁检测性能,提出了一种基于无人机电力巡检的椭圆稀布阵列天线优化方法.阵列天线的阵列单元稀布排列,能够在保证阵列天线性能的同时,减少阵列单元的数目,从而减少馈电单元的数目.每个阵列单元等幅馈电,可以有效降低馈电网络设计的复杂程度,这些都能够在一定程度上降低阵列天线的功耗,提高无人机的巡检时间.利用改进智能优化算法,通过优化阵列单元的位置,使方向图的最高旁瓣电平(peak sidelobe level,PSLL)尽量低,因此文中设计的阵列天线具有较低的最高旁瓣电平,从而具有很好的环境抗干扰能力.仿真结果表明,在给定阵列单元数目、最小间距约束和阵列天线尺寸的情况下,提出的方法能够有效降低阵列天线方向图的最高旁瓣电平,对具有41个阵列单元的椭圆阵列天线进行优化,优化后的阵列天线方向图的最高旁瓣电平在-24dB以下.

In order to improve the electromagnetic monitoring performance of the electric patrol UAV(unmanned aerial vehide),an optimization method of elliptical array antenna for UAV electric patrol is introduced in this pa-per.The array elements of the array antenna are arranged uniformly which can reduce the number of the array ele-ments and the number of the feed terminal unit while ensuring the performance of array antenna.Each array ele-ment is fed at equal amplitude,which can reduce the design complexity of the feeding network.So the power con-sumption of the array antenna is reduced to a certain extent,and the patrol time of the UAV is improved.The posi-tions of the array elements are optimized by the modified optimization method and the radiation pattern with mini-mum peak sidelobe level(PSLL)is obtained.Therefore,the array antenna can reduce the impact of the environ-mental noise effectively.The simulation result shows that the method proposed in this paper can reduce the PSLL of the radiation pattern while the element number of the array antenna,the minimum spacing of the adjacent elements and the size of the array antenna are given.The PSLL of the radiation pattern is lower than-24 dB when the ele-ment number of the elliptical array antenna is 41.

缪钟灵;吴念;姚隽雯;柯贤彬;王丛;别士光

广东电网有限责任公司机巡作业中心,广州 510000国网电力科学研究院武汉南瑞有限责任公司,武汉 430070

动力与电气工程

电力巡检无人机阵列天线入侵杂草算法差分进化算法最高旁瓣电平

electric patrol UAVarray antennainvasive weed optimizationdifferential evolution algorithmpeak sidelobe level

《电测与仪表》 2024 (007)

88-93 / 6

南方电网有限责任公司科技资助项目(GDKJXM20190010(031000KK52190001))

10.19753/j.issn1001-1390.2024.07.013

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