Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm

被引：2
|
作者：
Huang, Wenchao [1 ]
Pan, Zhijun [1 ]
Xu, Zhezhuang [1 ]
机构：
[1] Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
来源：
IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2023年 / 10卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Underwater cables; Location awareness; Magnetic flux density; Sensor arrays; Magnetic fields; Robot sensing systems; Magnetic sensors; TRACKING;
D O I：
10.1109/JAS.2022.106073
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Dear Editor, This letter concerns the localization of three-core underwater cables which are widely deployed for offshore energy transmission. It is a non-trivial problem, since the external magnetic field of three-core underwater cables is variable which reduces the accuracy of localization. To solve this problem, in this letter, an approximate equation is firstly derived to formulate the external magnetic field of a three-core armored underwater cable by considering the seafloor environments and the structure of three-core cables. Then, a new underwater cable localization method is proposed based on dual three-axis magnetic sensor array and the beetle swarm optimization (BSO) algorithm. The method constructs a fitness function based on the magnetic flux density amplitude and replaces the existing analytical geometry method with an optimization algorithm to achieve underwater cable localization with higher accuracy.
引用
收藏
页码：1893 / 1895
页数：3
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