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

By simulating the geomagnetic fields and analyzing the variation of intensities, this paper presents a model for calculating the objective function of an Autonomous Underwater Vehicle (AUV) geomagnetic navigation task. By investigating the biologically inspired strategies, the AUV successfully reach...

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Detalles Bibliográficos
Autores principales: Li, Hong, Liu, Mingyong, Liu, Kun, Zhang, Feihu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795385/
https://www.ncbi.nlm.nih.gov/pubmed/29295588
http://dx.doi.org/10.3390/s18010039
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author Li, Hong
Liu, Mingyong
Liu, Kun
Zhang, Feihu
author_facet Li, Hong
Liu, Mingyong
Liu, Kun
Zhang, Feihu
author_sort Li, Hong
collection PubMed
description By simulating the geomagnetic fields and analyzing the variation of intensities, this paper presents a model for calculating the objective function of an Autonomous Underwater Vehicle (AUV) geomagnetic navigation task. By investigating the biologically inspired strategies, the AUV successfully reaches the destination during geomagnetic 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 based on the specific target. The results show the reliability and effectiveness of the proposed algorithm.
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spelling pubmed-57953852018-02-13 A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy Li, Hong Liu, Mingyong Liu, Kun Zhang, Feihu Sensors (Basel) Article By simulating the geomagnetic fields and analyzing the variation of intensities, this paper presents a model for calculating the objective function of an Autonomous Underwater Vehicle (AUV) geomagnetic navigation task. By investigating the biologically inspired strategies, the AUV successfully reaches the destination during geomagnetic 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 based on the specific target. The results show the reliability and effectiveness of the proposed algorithm. MDPI 2017-12-25 /pmc/articles/PMC5795385/ /pubmed/29295588 http://dx.doi.org/10.3390/s18010039 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Hong
Liu, Mingyong
Liu, Kun
Zhang, Feihu
A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy
title A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy
title_full A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy
title_fullStr A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy
title_full_unstemmed A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy
title_short A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy
title_sort study on the model of detecting the variation of geomagnetic intensity based on an adapted motion strategy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795385/
https://www.ncbi.nlm.nih.gov/pubmed/29295588
http://dx.doi.org/10.3390/s18010039
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