航母飞行甲板上飞机转运路径优化方法的设计与验证

司维超; 孙涛; 宋超; 张杰

doi:10.1631/FITEE.2000251

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航母飞行甲板上飞机转运路径优化方法的设计与验证

常规文章 | Updated：2022-05-19

- 航母飞行甲板上飞机转运路径优化方法的设计与验证
- Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck
- 信息与电子工程前沿（英文） 2021年22卷第9期页码：1221-1233
- Affiliations：
  
  Coastal Defense College, Naval Aviation University, Yantai 264001, China
- Author bio：
  
  Weichao SI, E-mail: luckydevilsi@163.com
  [ "Tao SUN, E-mail: luckydevilhan@163.com" ]
  [ "Chao SONG, E-mail: sxwxc.1984@163.com" ]
  [ "Jie ZHANG, E-mail: zhangjie9886@126.com" ]
- Funds：
- DOI：10.1631/FITEE.2000251
  中图分类号： TP399
- 收稿：2020-05-25，
  
  修回：2021-;8-;8，
  
  纸质出版：2021-09
- Accepted：
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司维超, 孙涛, 宋超, 等. 航母飞行甲板上飞机转运路径优化方法的设计与验证[J]. 信息与电子工程前沿（英文）, 2021,22(9):1221-1233.

Weichao SI, Tao SUN, Chao SONG, et al. Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(9): 1221-1233.
司维超, 孙涛, 宋超, 等. 航母飞行甲板上飞机转运路径优化方法的设计与验证[J]. 信息与电子工程前沿（英文）, 2021,22(9):1221-1233. DOI： 10.1631/FITEE.2000251.

Weichao SI, Tao SUN, Chao SONG, et al. Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(9): 1221-1233. DOI： 10.1631/FITEE.2000251.

摘要

研究了在能见度较低或夜间情况下，航母飞行甲板上飞机安全转运的路径规划问题。首先，分析了舰载机在飞行甲板上的转运路径规划问题，定义了优化目标和约束条件。其次，为解决这一问题，建立了飞行甲板、舰载机实体、实体扩展、实体姿态、实体冲突检测和路径平滑的数学支持模型，为航母上飞机的转运路径规划提供了必要基础。再次，为实现转运路径自动规划，设计了一种多生境并行混沌算法（KCMPSO），并将其作为转运路径规划的优化方法。最后，以库兹涅佐夫号航空母舰为例进行仿真模拟。仿真结果表明，与粒子群算法相比，该方法能较好解决航母飞行甲板上飞机的转运路径规划问题。

Abstract

This paper studies the transfer path planning problem for safe transfer of an aircraft on the aircraft carrier flight deck under a poor visibility condition or at night. First

we analyze the transfer path planning problem for carrier-based aircraft on the flight deck

and define the objective to be optimized and the constraints to be met. Second

to solve this problem

the mathematical support models for the flight deck

carrier aircraft entity

entity extension

entity posture

entity conflict detection

and path smoothing are established

as they provide the necessary basis for transfer path planning of the aircraft on the aircraft carrier. Third

to enable automatic transfer path planning

we design a multi-habitat parallel chaos algorithm (called KCMPSO)

and use it as the optimization method for transfer path planning. Finally

we take the Kuznetsov aircraft carrier as a verification example

and conduct simulations. The simulation results show that compared with particle swarm optimization

this method can solve the transfer path planning problem for an aircraft on the aircraft carrier flight deck better.

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