CLC number: TP399
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-08-08
Cited: 0
Clicked: 5437
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.
@article{title="Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck",
author="Weichao Si, Tao Sun, Chao Song, Jie Zhang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="9",
pages="1221-1233",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000251"
}
%0 Journal Article
%T Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck
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%A Tao Sun
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%A Jie Zhang
%J Frontiers of Information Technology & Electronic Engineering
%V 22
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000251
TY - JOUR
T1 - Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck
A1 - Weichao Si
A1 - Tao Sun
A1 - Chao Song
A1 - Jie Zhang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
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SP - 1221
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%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2000251
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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