基于自适应运动策略的地磁场强度变化检测模型研究

A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy.

作者信息

Li Hong, Liu Mingyong, Liu Kun, Zhang Feihu

机构信息

College of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

出版信息

Sensors (Basel). 2017 Dec 25;18(1):39. doi: 10.3390/s18010039.

DOI:10.3390/s18010039

PMID:29295588

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5795385/

Abstract

By simulating the geomagnetic fields and analyzing thevariation of intensities, this paper presents a model for calculating the objective function ofan Autonomous Underwater Vehicle (AUV)geomagnetic navigation task. By investigating the biologically inspired strategies, the AUV successfullyreachesthe destination duringgeomagnetic navigation without using the priori geomagnetic map. Similar to the pattern of a flatworm, the proposed algorithm relies on a motion pattern to trigger a local searching strategy by detecting the real-time geomagnetic intensity. An adapted strategy is then implemented, which is biased on the specific target. The results show thereliabilityandeffectivenessofthe proposed algorithm.

摘要

通过模拟地磁场并分析强度变化，本文提出了一种用于计算自主水下航行器（AUV）地磁导航任务目标函数的模型。通过研究受生物启发的策略，AUV在地磁导航过程中无需使用先验地磁图就能成功到达目的地。与扁虫的模式类似，所提出的算法依靠一种运动模式，通过检测实时地磁强度来触发局部搜索策略。然后实施一种基于特定目标的自适应策略。结果表明了所提算法的可靠性和有效性。