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
相关论文
共 50 条
  • [31] A Time Difference of Arrival Based Target Motion Analysis for Localization of Underwater Vehicles
    Alexandri, Talmon
    Walter, Michael
    Diamant, Roee
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (01) : 326 - 338
  • [32] Three-dimensional path planning for autonomous underwater vehicles based on a whale optimization algorithm
    Yan, Zheping
    Zhang, Jinzhong
    Zeng, Jia
    Tang, Jialing
    OCEAN ENGINEERING, 2022, 250
  • [33] Elimination of Sensor Error Sources with Particle Swarm Optimization Algorithm
    Altas, I. Ahmet
    Yilmaz, C. Nurettin
    32ND IEEE SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU 2024, 2024,
  • [34] Optimal Measurement of Drone Swarm in RSS-Based Passive Localization With Region Constraints
    Cheng, Xin
    Shu, Feng
    Li, Yifan
    Zhuang, Zhihong
    Wu, Di
    Wang, Jiangzhou
    IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2023, 4 : 1 - 11
  • [35] Leader-Based Flocking of Multiple Swarm Robots in Underwater Environments
    Kim, Jonghoek
    SENSORS, 2023, 23 (11)
  • [36] Asynchronous Localization of Underwater Target Using Consensus-Based Unscented Kalman Filtering
    Yan, Jing
    Zhao, Haiyan
    Luo, Xiaoyuan
    Wang, Yiyin
    Chen, Cailian
    Guan, Xinping
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 45 (04) : 1466 - 1481
  • [37] An Optimized Method for Wireless Sensor Localization Using Heuristic-Based Adaptive Particle Swarm Fusion
    Chen, Feng-Ran
    Qin, Ling
    Tang, Zhen-Tian
    Feng, Cui-Yun
    Chen, Jie
    Chen, Shuai
    IEEE SENSORS JOURNAL, 2024, 24 (21) : 36011 - 36022
  • [38] MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control
    Zhang, Miao
    Zhuang, Keyu
    Zhao, Tong
    Xue, Jingze
    Gao, Yunlong
    Cui, Shuai
    Qiao, Zheng
    ENERGIES, 2022, 15 (23)
  • [39] The analysis of tennis recognition model for human health based on computer vision and particle swarm optimization algorithm
    Wang, Zhanguo
    Zhao, Yuanbing
    Bian, Cui
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, 13 (SUPPL 3) : 1228 - 1241
  • [40] Optimal Sampling-based Model Predictive Path Integral Method with Particle Swarm Optimization
    Kim, Seongyeon
    Shin, Jongho
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2025, 49 (01) : 55 - 65
12345