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  • 标题:Adaptive coverage control for multi-USV system in complex environment with unknown obstacles
  • 本地全文:下载
  • 作者:Yao Yao ; Jun-Hua Cao ; Yi Guo
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2021
  • 卷号:17
  • 期号:6
  • 页码:1
  • DOI:10.1177/15501477211021525
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Aiming at the shortcomings of the existing control law based on the global information, this article studies the coverage problem of a given region in the plane using a team of USVs. The coverage goal, which is to cover a given search domain using multiple mobile sensors so that each point is surveyed until a certain preset level is achieved, is formulated in a mathematically precise problem statement. The adaptive control law is presented which enables multi-USV to navigate in a complex environment in the presence of unknown obstacles and guarantees that a fully connected multi-USV system attains the coverage goal. In particular, the dangerous area was divided into two different parts in order to enhance the searching efficiency. Finally, simulation results are presented to validate the feasibility and efficiency of the proposed approach.
  • 关键词:Adaptive searching control; multi-USV; potential field method; obstacle avoidance; USV
  • 其他关键词:Adaptive searching control ; multi-USV ; potential field method ; obstacle avoidance ; USV
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