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  • 标题:Energy-Optimized Path Planning for Autonomous Ferries
  • 本地全文:下载
  • 作者:Glenn Bitar ; Morten Breivik ; Anastasios M. Lekkas
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:29
  • 页码:389-394
  • DOI:10.1016/j.ifacol.2018.09.456
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe topic of energy-optimized path planning using pseudospectral optimal control is considered. An optimal control problem (OCP) is formulated to produce an energy-optimized path between two points among static obstacles. A nonlinear 3-degree-of-freedom underactuated ship model is considered in the OCP with an energy-based cost function. The ship model is affected by external disturbances in the form of ocean currents. The OCP is solved using a pseudospectral method, which has proven successful in real-world applications. Additionally, the method is not as sensitive to dimensionality compared to Hamilton-Jacobi-Bellman methods. Position and speed information from the OCP solution is used in a closed-loop simulation with a guidance controller to show feasibility of the path. The simulation results show that the path is feasible, and that including ocean-current information in the path planning significantly reduces energy consumption. The paper also gives a short overview and classification of alternative path-planning methods. Finally, a proposal for how the path planner fits in a complete motion-control architecture is provided.
  • 关键词:KeywordsPath planningenergy optimizationautonomous shipsoptimal control
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