论文:2022,Vol:40,Issue(5):1004-1011
引用本文:
李林丰, 刘卫东, 李乐. 基于改进蜉蝣算法的水下磁场测量误差补偿[J]. 西北工业大学学报
LI Linfeng, LIU Weidong, LI Le. Underwater magnetic field measurement error compensation based on improved mayfly algorithm[J]. Journal of Northwestern Polytechnical University

基于改进蜉蝣算法的水下磁场测量误差补偿
李林丰, 刘卫东, 李乐
西北工业大学 航海学院, 陕西 西安 710072
摘要:
针对ROV配置三轴磁力计近距离测量水下磁性目标磁场特征时存在干扰磁场的问题,提出了基于改进蜉蝣算法的磁场补偿方法,以提高水下磁场信息的测量精度。基于三轴磁力计本身的安装误差和ROV的干扰磁场建立了误差补偿模型;针对原始蜉蝣算法存在易陷入局部最优以及收敛精度差等问题,引入了Tent混沌序列和Levy飞行变异策略扰动原始蜉蝣算法中陷入局部最优的个体;利用三轴磁力计测量得到磁场信息,分别将原始蜉蝣算法、粒子群算法和改进的蜉蝣算法应用于补偿参数的离线寻优估计。试验结果表明改进的蜉蝣算法具有较快的收敛速度以及较高的补偿精度。
关键词:    三轴磁力计    磁场误差补偿    磁场测量    蜉蝣算法   
Underwater magnetic field measurement error compensation based on improved mayfly algorithm
LI Linfeng, LIU Weidong, LI Le
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
This paper investigates the magnetic filed interference problem when the ROV equipped with a three-axis magnetometer measures the magnetic field of underwater magnetic targets within a short range, and a magnetic field compensation method based on an improved mayfly algorithm is proposed to improve the measurement accuracy of underwater magnetic field information. Firstly, a compensation model is established based on the installation error of the three-axis magnetometer and the interference magnetic field of the ROV. Then, in view of the problem that the original mayfly algorithm is easy to fall into local optimal and the convergence accuracy is poor, the Tent chaotic sequence and the Levy flight mutation strategy are introduced to improve the original mayfly algorithm. Finally, a series of magnetic field information is obtained through the three-axis magnetometer, and the original mayfly algorithm, particle swarm algorithm and improved mayfly algorithm are used to estimate the compensation parameters. The experimental results show that the improved mayfly algorithm has obtained faster convergence speed and higher compensation accuracy than others.
Key words:    three-axis magnetometer    magnetic field error compensation    magnetic field measurement    mayfly algorithm   
收稿日期: 2021-11-18     修回日期:
DOI: 10.1051/jnwpu/20224051004
基金项目: 国家自然科学基金(61903304)与国家重点研发计划(2016YFC0301700)资助
通讯作者: 李乐(1986-),西北工业大学副教授,主要从事水下机器人协同规划与控制研究。e-mail:leli@nwpu.edu.cn     Email:leli@nwpu.edu.cn
作者简介: 李林丰(1992—),西北工业大学博士研究生,主要从事水下机器人导航及水下磁场信息处理研究。
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参考文献:
[1] WALKER C, STRINGFIELD J. Measurement of the magnetic signature of a moving surface vessel with multiple magnetometer-equipped AUVs[J]. Ocean Engineering, 2013, 64(8):80-87
[2] LI L, LIU W, LI L, et al. Magnetic signature measurement of surface ship using a rov-equipped with magnetometer[C]//MTS/IEEE Oceans Conference, Singapore, 2020:1-5
[3] LIU S, CHEN Z, PAN M, et al. Magnetic anomaly detection based on full connected neural network[J]. IEEE Access, 2019, 7:182198-182206
[4] JUNG J, PARK J, CHOI J, et al. Autonomous mapping of underwater magnetic fields using a surface vehicle[J]. IEEE Access, 2018, 6:62552-62563
[5] GAO Q, CHENG D, WANG Y, et al. A calibration method for the misalignment error between inertial navigation system and tri-axial magnetometer in three-component magnetic measurement system[J]. IEEE Sensors Journal, 2019, 19(24):12217-12223
[6] TOLLES W, MINEOLA A. Magnetic field compensation system:USA, I706801[P]. 1955-04-19
[7] 乔中坤,马国庆,周文纳,等.多旋翼无人机航磁系统误差综合补偿研究[J].地球物理学报, 2020, 63(12):4604-4612 QIAO Zhongkun, MA Guoqing, ZHOU Wenna, et al. Research on the comprehensive compensation of aeromagnetic system error of multi-rotor UAV[J]. Chinese Journal of Geophysics, 2020, 63(12):4604-4612(in Chinese)
[8] 于振涛,吕俊伟,稽绍康.基于椭球约束的载体三维磁场补偿方法[J].哈尔滨工程大学学报, 2014, 35(6):731-734 YU Zhentao, LYU Junwei, JI Shaokang. A compensation method for the vehicle 3-D magnetic field based on ellipsoid constraint[J]. Journal of Harbin Engineering University, 2014,35(6):731-734(in Chinese)
[9] 吴永亮,王田苗,梁建宏.微小型无人机三轴磁强计现场误差校正方法[J].航空学报, 2011, 32(2):330-336 WU Yongliang, WANG Tianmiao, LIANG Jianhong. In-suit error calibration of three-axis magnetometer for unmanned aerial vehicle[J]. Acta Aeronautica et Astronautica Sinica, 2011,32(2):330-336(in Chinese)
[10] PANG H, LI J, CHEN D, PAN M, et al. Calibration of three-axis fluxgate magnetometers with nonlinear least square method[J]. Measurement, 2013, 46(4):1600-1606
[11] LI J, ZHANG Q, CHEN D, et al. Magnetic interferential field compensation in geomagnetic measurement[J]. Transactions of the Institute of Measurement and Control, 2013,36(2):244-251
[12] 吴志添,武元新,胡小平,等.基于总体最小二乘的捷联三轴磁力仪标定与地磁场测量误差补偿[J].兵工学报, 2012, 33(10):1202-1209 WU Zhitian, WU Yuanxin, HU Xiaoping, et al. Calibration of strapdown three-axis magnetometer and measurement error compensation of geomagnetic field based on total least squares[J]. Acta Armamentarii, 2012, 33(10):1202-1209(in Chinese)
[13] ZHOU Y, ZHANG X, XIAO W. Calibration and compensation method of three-axis geomagnetic sensor based on pre-processing total least square iteration[J]. Journal of Instrumentation, 2018, 13(4):T04006
[14] LIU Z, ZHANG Q, PAN M, et al. Magnetic disturbance field compensation of a geomagnetic vector measuring instrument[J]. IEEE Geoscience&Remote Sensing Letters, 2018, 13:356-361
[15] 李婷,张金生,王仕成,等.基于阻尼粒子群优化的地磁场测量误差补偿[J].仪器仪表学报, 2017, 38(10):2446-2452 LI Ting, ZHANG Jinsheng, WANG Shicheng, et al. Compensation of geomagnetic field measurement error based on damped particle swarm optimization[J]. Chinese Journal of Scientific Instrument, 2017, 38(10):2446-2452(in Chinese)
[16] ZHANG Q, WAN C, PAN M, et al. A component compensation method for magnetic interferential field[J]. Journal of Applied Geophysics, 2017, 139:331-337
[17] GAO Q, ZHAO J, CHENG D, et al. A compensation method for the carrier interference of a three-component magnetic measurement system using a Cuckoo search algorithm[J]. Measurement Science and Technology, 2018, 29(8):1-8
[18] KONSTANTINOS Z, STELIOS T. A mayfly optimization algorithm[J]. Computer&Industrial Engineering, 2020,145:1-23
[19] GAO Z, ZHAO J. The improved mayfly optimization algorithm[J]. Journal of Physics Conference Series, 2020, 1684:1-8
[20] LIANG S, HAO Q, LI J, et al. Chaos optimization algorithm based Tent map[J]. Control and Decision, 2005(2):179-182
[21] YANG X S, DEB S. Cuckoo search via levy flight[C]//Proceedings of World Congress on Nature&Biologically Inspired Computing, Coimbatore, 2010:210-214