Path planning algorithm for autonomous underwater robots in diving plane

Jian Gao; De Min Xu; Wei Sheng Yan

Path planning algorithm for autonomous underwater robots in diving plane

Jian Gao
, De Min Xu
, Wei Sheng Yan

航海学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

A path planning algorithm for autonomous underwater robots in diving plane is presented. Using fuzzy inference system (FIS), the desired depth is derived according to the depth and the distance to bottom. The computer simulations proved that this path planning algorithm can successfully control the vehicle to avoid diving too deep/low or crashing on the bottom, and keep the proper height to improve the measurement accuracy of the Doppler velocity log (DVL).

源语言	英语
页（从-至）	806-807+811
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	17
期	4
出版状态	已出版 - 4月 2005

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title = "Path planning algorithm for autonomous underwater robots in diving plane",

abstract = "A path planning algorithm for autonomous underwater robots in diving plane is presented. Using fuzzy inference system (FIS), the desired depth is derived according to the depth and the distance to bottom. The computer simulations proved that this path planning algorithm can successfully control the vehicle to avoid diving too deep/low or crashing on the bottom, and keep the proper height to improve the measurement accuracy of the Doppler velocity log (DVL).",

keywords = "Autonomous underwater robots, Diving plane, Fuzzy inference system, Path planning",

author = "Jian Gao and Xu, \{De Min\} and Yan, \{Wei Sheng\}",

year = "2005",

month = apr,

language = "英语",

volume = "17",

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journal = "Xitong Fangzhen Xuebao / Journal of System Simulation",

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TY - JOUR

T1 - Path planning algorithm for autonomous underwater robots in diving plane

AU - Gao, Jian

AU - Xu, De Min

AU - Yan, Wei Sheng

PY - 2005/4

Y1 - 2005/4

N2 - A path planning algorithm for autonomous underwater robots in diving plane is presented. Using fuzzy inference system (FIS), the desired depth is derived according to the depth and the distance to bottom. The computer simulations proved that this path planning algorithm can successfully control the vehicle to avoid diving too deep/low or crashing on the bottom, and keep the proper height to improve the measurement accuracy of the Doppler velocity log (DVL).

AB - A path planning algorithm for autonomous underwater robots in diving plane is presented. Using fuzzy inference system (FIS), the desired depth is derived according to the depth and the distance to bottom. The computer simulations proved that this path planning algorithm can successfully control the vehicle to avoid diving too deep/low or crashing on the bottom, and keep the proper height to improve the measurement accuracy of the Doppler velocity log (DVL).

KW - Autonomous underwater robots

KW - Diving plane

KW - Fuzzy inference system

KW - Path planning

UR - https://www.scopus.com/pages/publications/18744402455

M3 - 文章

AN - SCOPUS:18744402455

SN - 1004-731X

VL - 17

SP - 806-807+811

JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 4

ER -

Path planning algorithm for autonomous underwater robots in diving plane

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