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CLC number: TP399

On-line Access: 2021-09-10

Received: 2020-05-25

Revision Accepted: 2020-10-08

Crosschecked: 2021-08-08

Cited: 0

Clicked: 3111

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Weichao Si

https://orcid.org/0000-0002-5257-7384

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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.9 P.1221-1233

http://doi.org/10.1631/FITEE.2000251


Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck


Author(s):  Weichao Si, Tao Sun, Chao Song, Jie Zhang

Affiliation(s):  Coastal Defense College, Naval Aviation University, Yantai 264001, China

Corresponding email(s):   luckydevilsi@163.com, luckydevilhan@163.com, sxwxc.1984@163.com, zhangjie9886@126.com

Key Words:  Carrier aircraft, Flight deck, Transfer path planning, KCMPSO algorithm, Method design and validation


Weichao Si, Tao Sun, Chao Song, Jie Zhang. 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.

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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.

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
海军航空大学岸防兵学院,中国烟台市,264001
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。

关键词:舰载机;飞行甲板;转运路径规划;KCMPSO算法;方法设计与验证

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