首页> 中文期刊> 《船舶与海洋工程学报(英文版)》 >Efficient AUV Path Planning in Time-Variant Underwater Environment Using Differential Evolution Algorithm

Efficient AUV Path Planning in Time-Variant Underwater Environment Using Differential Evolution Algorithm

         

摘要

Robust and efficient AUV path planning is a key clement for persistence AUV maneuvering in variable underwater environments.To develop such a path planning system,in this study,differential evolution (DE) algorithm is employed.The performance of the DE-based planner in generating time-efficient paths to direct the AUV ~om its initial conditions to the target of interest is investigated within a complexed 3D underwater environment incorporated with turbulent current vector fields,coastal area,islands,and static/dynamic obstacles.The results of simulations indicate the inherent efficiency of the DE-based path planner as it is capable of extracting feasible areas of a real map to determine the allowed spaces for the vehicle deployment while coping undesired current disturbances,exploiting desirable currents,and avoiding collision boundaries in directing the vehicle to its destination.The results are implementable for a realistic scenario and on-board real AUVas the DE planner satisfies all vehicular and environmental constraints while minimizing the travel time/distance,in a computationally efficient manner.

著录项

  • 来源
    《船舶与海洋工程学报(英文版)》 |2018年第4期|585-591|共7页
  • 作者单位

    School of Computer Science, Engineering and Mathematics, Flinders University Tonsley, Adelaide, SA 5042, Australia;

    School of Computer Science, Engineering and Mathematics, Flinders University Tonsley, Adelaide, SA 5042, Australia;

    School of Computer Science, Engineering and Mathematics, Flinders University Tonsley, Adelaide, SA 5042, Australia;

    Centre for Maritime Engineering, Control and Imaging, Flinders University, Adelaide, SA 5042, Australia;

    Seattle Children's Research Institute, University of Washington, Washington, WA 98195, USA;

  • 原文格式 PDF
  • 正文语种 eng
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