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Weather Route Optimization Method of Unmanned Ship Based on Continuous Dynamic Optimal Control

Author

Listed:
  • Xiaoyuan Wang

    (College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266000, China
    Intelligent Shipping Technology Innovation and Comprehensive Experimental Base, Qingdao 266000, China)

  • Xinyue Zhao

    (Intelligent Shipping Technology Innovation and Comprehensive Experimental Base, Qingdao 266000, China)

  • Gang Wang

    (College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266000, China
    Intelligent Shipping Technology Innovation and Comprehensive Experimental Base, Qingdao 266000, China)

  • Quanzheng Wang

    (College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266000, China
    Intelligent Shipping Technology Innovation and Comprehensive Experimental Base, Qingdao 266000, China)

  • Kai Feng

    (Intelligent Shipping Technology Innovation and Comprehensive Experimental Base, Qingdao 266000, China)

Abstract

Intelligent weather route optimization method was an essential guarantee for safe and efficient navigation of ships. In traditional methods, the multi-stage decision-making method was generally used to solve route dynamic optimization problems, in which it was impossible to achieve dynamic optimal routes, due to the temporal and spatial complexity of route design. In this paper, an unmanned ship weather route optimization model was established based on a method of continuous dynamic optimal control. Marine meteorological information was analyzed. Navigation safety, energy consumption, and sailing time were integrated considered. Dual-target route evaluation function of energy consumption and sailing time was established. The problem about the multi-stage decision was transformed into that of one-step optimal control, and an improved ant colony algorithm was adopted. Simulation results showed that compared with some traditional methods, the proposed method was better performed, which can be applied to dynamic route optimization of the unmanned ship in a large marine area under complex meteorological conditions.

Suggested Citation

  • Xiaoyuan Wang & Xinyue Zhao & Gang Wang & Quanzheng Wang & Kai Feng, 2022. "Weather Route Optimization Method of Unmanned Ship Based on Continuous Dynamic Optimal Control," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2165-:d:749163
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    References listed on IDEAS

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    1. Peter Andersson & Pernilla Ivehammar, 2017. "Dynamic route planning in the Baltic Sea Region – A cost-benefit analysis based on AIS data," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 631-649, December.
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