系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (10): 2312-2319.doi: 10.3969/j.issn.1001-506X.2020.10.20

• 系统工程 • 上一篇    下一篇

海况影响下的分布式海战补给路径规划方法

张泉先1(), 曾斌1(), 李厚朴2()   

  1. 1. 海军工程大学管理工程与装备经济系, 湖北 武汉 430033
    2. 海军工程大学导航工程系, 湖北 武汉 430033
  • 收稿日期:2020-01-16 出版日期:2020-10-01 发布日期:2020-09-19
  • 作者简介:张泉先(1995-),男,硕士研究生,主要研究方向为物流系统建模与仿真。E-mail:2312497662@qq.com|曾斌(1970-),男,教授,博士,主要研究方向为信息管理。E-mail:zbtrueice@163.com|李厚朴(1985-),男,副教授,博士,主要研究方向为海上导航。E-mail:lihoupu@126.com
  • 基金资助:
    国家自然科学基金(41771487);湖北省杰出青年科学基金(2019CFA086)

Underway replenishment path planning method for distributed naval warfare under the influence of sea conditions

Quanxian ZHANG1(), Bin ZENG1(), Houpu LI2()   

  1. 1. Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China
    2. Department of Navigation Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2020-01-16 Online:2020-10-01 Published:2020-09-19

摘要:

传统的舰船伴随补给方式路径规划较为简单,且没有考虑风浪等海况因素的影响,已无法满足现在分布式杀伤海战概念及其反制措施的要求。为此,建立了多编队海上补给路径规划模型,综合考虑了复杂海况及补给时间窗对舰船补给的影响。为了求解规划模型,提出了基于时长步进的路径评估算法,首先利用海洋气象预报信息计算各时间步长的舰船阻力,随后估算不同候选路径的航行时间、等待时间及作业时间,从而比较得到最优路径。仿真实验证明了所提算法的优越性,能够为分布式海战补给提供决策支持。

关键词: 分布式海战, 路径规划, 海上补给, 海况, 时间窗

Abstract:

Under the traditional ship accompanying replenishment method, the path planning is relatively simple and does not consider the influence of the sea conditions such as wind and waves, which is unable to meet the requirements of the current distributed lethality naval warfare concept and its countermeasures. To this end, a multi-fleet underway replenishment path planning model is established, which comprehensively considered the impact of the complex sea conditions and replenishment time windows on ship replenishment. In order to solve the planning model, a path evaluation algorithm based on time step is proposed. Firstly, the marine resistance is used to calculate the ship resistance at each time step by using the marine meterologal forecast information. Then estimate the sailing time, waiting time and operation time of different candidate routes, so as to compare and get the optimal path. Simulation experiments prove that the superiority of the proposed algorithm and can provide decision support for distributed naval warfare replenishment.

Key words: distributed naval warfare, path planning, underway replenishment, sea condition, time window

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