基于仿真优化的甲板作业站位选择指标策略研究

doi:10.16180/j.cnki.issn1007-7820.2023.05.013

Abstract

Abstract:

Under certain conditions of deck resource allocation, resource allocation strategy affects the operational efficiency of aircraft carrier. This study proposes the deck station allocation problem. Starting from the calculation models of dispatching time and queuing time, a dynamic station allocation strategy based on station index is proposed. The strategy determines a suitable station allocation scheme dynamically according to the current operation conditions. Using genetic algorithm to search for the best weight of station parameters, where the objective is to minimize the deck operation duration. Through simulation experiments, the superiority of the proposed strategy is verified by comparing it with other common strategies in the evaluation index of deck operation duration. Using the proposed strategy can obtain better deck operation duration, and improve the sorties rate of the shipborne aircraft.

Key words: carrier-based aircraft, position selection, indexing strategy, genetic algorithm, deck operation, simulation, sortie rate, operation duration

CLC Number:

TP18

BIAN Dapeng,WANG Yeting,PENG Yaxin,TANG Haoquan. Research on the Index Strategy of Deck Operation Station Selection Based on Simulation Optimization[J].Electronic Science and Technology, 2023, 36(5): 88-94.

Figures/Tables 12

Table 1.

Table 2.

Figure 1.

Figure 2.

Figure 3.

Table 3.

Figure 4.

Figure 5.

Table 4.

Table 5.

Figure 6.

Table 6.

References 16

[1]	Castro D R. Optimization models for allocation of air strike assets with persistence[D]. Monterey: Naval Postgraduate School, 2002:31-40.
[2]	Yost K A. The time strike munitions optimization model[R]. Monterey: Naval Postgraduate School, 2002:29-42.
[3]	陈成. 飞行甲板航空保障系统配置对出动架次率的影响研究[D]. 哈尔滨: 哈尔滨工程大学, 2018:6-20.
	Chen Cheng. Research of the influence of aviation guarantee system configuration on SGR[D]. Harbin: Harbin Engineering University, 2018:6-20.
[4]	步兵, 王卓健, 潘洪升. 基于战时飞机出动架次率的保障设备优化配置[J]. 空军工程大学学报(自然科学版), 2018, 19(3):30-35.
	Bu Bing, Wang Zhuojian, Pan Hongsheng. Optimal allocation of support equipments based on aircraft sortie generation rate in the wartime[J]. Journal of Air Force Engineering University(Natural Science Edition), 2018, 19(3):30-35.
[5]	卞大鹏, 栾添添, 宋晔. 基于模拟退火算法的舰载机布列方法研究[J]. 应用科技, 2015, 42(4):20-24.
	Bian Dapeng, Luan Tiantian, Song Ye. A layout method of carrier-based aircraft based on simulated annealing[J]. Applied Science and Technology, 2015, 42(4):20-24.
[6]	Wu Y, Qu X J. Path planning for taxi of carrier aircraft launching[J]. Science China, 2013, 56(6):1561-1570.
[7]	周晓光, 赵仁厚, 王述运, 等. 飞行甲板作业对航母舰载机出动架次影响分析[J]. 系统仿真学报, 2014, 26(10):2447-2451.
	Zhou Xiaoguang, Zhao Renhou, Wang Shuyun, et al. Research on influence of flight deck operation exerts upon sortie generation of carrier-based aircraft[J]. Journal of System Simulation, 2014, 26(10):2447-2451.
[8]	苏析超, 韩维, 萧卫, 等. 基于Memetic算法的舰载机舰面一站式保障调度[J]. 系统工程与电子技术, 2016, 38(10):2303-2309.
	Su Xichao, Han Wei, Xiao Wei, et al. Pit-stop support scheduling on deck of carrier plane based on Memetic algorithm[J]. Systems Engineering and Electronics, 2016, 38(10):2303-2309.
[9]	苏红宇. 美国航母CVNX发展进程与关键技术[J]. 船舶工业技术经济信息, 2003, 18(1):20-24.
	Su Hongyu. Development and key technologies of CVNX in USA[J]. Technical and Economic Information of Shipbuilding Industry, 2003, 18(1):20-24.
[10]	黄胜, 孟祥印, 常欣. 航母舰载机降落制动滑跑距离分析及预报[J]. 中国舰船研究, 2009, 4(2):11-14.
	Huang Sheng, Meng Xiangyin, Chang Xin. Prediction and analysis on sliding distance of carrierborne aircraft landing[J]. Chinese Journal of Ship Research, 2009, 4(2):11-14.
[11]	杨放青. 航母飞行甲板作业能力分析与优化研究[D]. 哈尔滨: 哈尔滨工程大学, 2018:17-30.
	Yang Fangqing. Analysis and optimization research on the aircraft carrier’s flight deck’s operational capability[D]. Harbin: Harbin Engineering University, 2018:17-30.
[12]	Baker W, Brennan S D, Husni M. Flightdeck design of the next generation aircraft carrier[J]. Naval Engineers Journal, 2000, 112(3):69-75.
[13]	王云翔, 范加利, 丁飞, 等. 多机移动条件下飞行甲板路径规划研究[J]. 舰船电子工程, 2021, 41(2):55-59.
	Wang Yunxiang, Fan Jiali, Ding Fei, et al. Research on flight deck path planning under the condition of multi-aircraft moving[J]. Ship Electronic Engineering, 2021, 41(2):55-59.
[14]	高杰, 赵海丹, 胡楚君. 甲板舰载机移动路径规划与运动协调方法研究[C]. 北京: 第六届中国指挥控制大会, 2018:494-500.
	Gao Jie, ZhaoHaidan,Hu Chujun. Research on moving path planning and motion coordination method for carrier-borne aircraft on deck[C]. BeiJing: The Sixth China Command and Control Conference, 2018:494-500.
[15]	王卉. 基于遗传算法的复杂物流系统库存仿真优化[D]. 武汉: 华中科技大学, 2012:21-42.
	Wang Hui. Genetic algorithms based inventory simulation optimization for complex logistics[D]. Wuhan: Huazhong University of Science and Technology, 2012:21-42.
[16]	郭树伽, 夏芳臣, 陆远. 公共随机数在齿轮生产系统评估中的应用[J]. 组合机床与自动化加工技术, 2010(4):40-43.
	Guo Shujia, Xia Fangchen, Lu Yuan. Common random numbers in assessment of gear production systems[J]. Modular Machine Tool and Automatic Machining Technology, 2010, 51(4):40-43.

站位序号	示意图欧式距离 /cm	实际欧式距离 /m
1	5.12	70.32
2	3.89	54.58
3	3.43	48.12
4	3.09	43.35
5	3.21	45.04
6	3.68	51.63
7	4.55	63.84
8	5.48	76.88
9	6.40	89.79
10	7.30	102.41
11	8.30	116.45
12	9.21	129.22
13	10.13	142.12

站位序号	示意图欧式距离/cm
站位序号	起飞1	起飞2	起飞3	起飞1	起飞2	起飞3
1	4.31	2.98	6.44	60.47	41.81	90.35
2	4.36	3.04	5.32	61.17	42.65	74.64
3	4.90	3.48	4.32	68.75	48.82	60.61
4	5.53	4.17	3.33	77.59	58.50	46.72
5	6.28	5.06	2.43	88.11	70.99	34.09
6	7.67	6.69	1.04	107.61	93.87	14.59
7	8.59	7.66	1.90	120.52	107.47	26.66
8	9.49	8.62	2.78	133.14	120.94	39.00
9	10.38	9.48	3.70	145.63	133.00	51.91
10	11.34	10.53	4.69	159.10	147.74	65.80
11	12.31	11.51	5.72	172.71	161.49	80.25
12	13.18	14.42	6.59	184.92	202.31	92.46
13	14.17	13.44	7.62	198.81	188.56	106.91

保障站位序号	调运时间/min
保障站位序号	降落站位	起飞1	起飞2	起飞3
1	9.51	3.04	1.98	6.84
2	5.82	3.99	3.28	6.16
3	3.01	4.98	4.69	4.83
4	2.66	6.00	5.90	3.45
5	3.67	6.65	6.70	1.89
6	2.69	5.54	5.43	1.53
7	3.32	5.89	5.87	3.36
8	4.26	6.61	6.36	4.30
9	4.64	6.97	6.80	5.14
10	4.64	7.41	7.06	5.25
11	5.29	7.73	7.48	5.74
12	5.54	8.12	8.54	6.08
13	5.87	8.44	8.19	6.49

作业内容		作业时间分布/h
保障	维修	E(1.80)
	加油	N(0.43,0.15)
	检查	E(0.04)
	挂弹	N(0.32,0.08)
起飞		E(0.03)
飞行任务		N(2.11,0.24)
降落		E(0.03)

符号表示	参数设置	数值
G	迭代次数	100.00
N	种群范围	50.00
P_c	交叉概率	0.90
P_m	变异概率	0.25

Research on the Index Strategy of Deck Operation Station Selection Based on Simulation Optimization

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 16

Related Articles 15

Metrics

Comments

Recommended 10

行优于或等同列的实验个数/个	随机	排队时间	中间时间
随机	-	-	-
排队时间	24	-	-
中间时间	92	91+2*	-
站位指标	100	98+2*	57+43*

[1]	WU Fuzhuan,XIANG Naihuang,ZHOU Yuanhao,CHEN Mengna. PI Approximate Engineering Design of DC-DC Conversion Compensation Network [J]. Electronic Science and Technology, 2023, 36(5): 16-22.
[2]	ZHANG Jinghao,ZHANG Xuanxiong,Christian Wolf,Michael Wick. Study on the Characteristics of Ignition Discharge of A Small Penning Ion Source by Increasing Magnetic Field [J]. Electronic Science and Technology, 2023, 36(5): 71-79.
[3]	TANG Zenan,MIAO Xiaodan,YANG Jian,YUAN Tianchen. Research on Low Mach Number Transitional Cavity Jet Noise Reduction of High-Speed Train Pantograph [J]. Electronic Science and Technology, 2023, 36(4): 29-35.
[4]	XIA Zihao,LI Yudong. Research on Control Strategy of Single-Phase Grid-Connected Inverter Based on dSPACE [J]. Electronic Science and Technology, 2023, 36(3): 62-68.
[5]	SUN Sinan,HAO Zhenghang. Research on Battery Grid Connection Based on Voltage and Current Double Loop Control [J]. Electronic Science and Technology, 2023, 36(2): 13-21.
[6]	WANG Yumei,WANG Lulu. Distribution Network Dispatching Optimization Strategy Energy Storage Based on Time-of-Use Electricity Price and User-Side [J]. Electronic Science and Technology, 2023, 36(2): 7-12.
[7]	ZHOU Qiping,HE Wei,JIA Lei,GUO Junkai,ZHAO Jianguo. Research on Internet of Vehicles Navigation Technology Based on BDS and Edge Computing [J]. Electronic Science and Technology, 2023, 36(1): 51-59.
[8]	LIU Meihong,HONG Enhang,LI Zhenhua,TENG Baoren. Study on Wire Arc Additive Manufacturing Forming Based on Image Processing and Numerical Simulation [J]. Electronic Science and Technology, 2023, 36(1): 7-14.
[9]	SUN Sinan,HAO Zhenghang. Photovoltaic Grid-Connected System Based on Adaptive VSG Control [J]. Electronic Science and Technology, 2022, 35(9): 22-29.
[10]	WEI Zefeng,ZHOU Yuanyuan. Workflow Scheduling Algorithm Based on Mobile Perception in Mobile Edge Environment [J]. Electronic Science and Technology, 2022, 35(9): 58-64.
[11]	MING Can,MA Chunwei. Numerical Simulation and Thermal Cycle Analysis of MAG Welding Temperature Field Based on ABAQUS [J]. Electronic Science and Technology, 2022, 35(9): 74-78.
[12]	ZHANG Chongchong,HUANG Yayu. A GA-BP Neural Network for Predicting the Structure of Leaf Tobacco [J]. Electronic Science and Technology, 2022, 35(6): 35-42.
[13]	Xiaojing YANG,Hongxiu YANG. Simulation of Dynamic Process of Micro-Cutting Single Crystal Germanium Based on SPH Method [J]. Electronic Science and Technology, 2022, 35(4): 67-71.
[14]	Xinge SHEN,Hai JIN,Liang GUO. Research on Adaptive Backstepping Control of Quadrotor UAV [J]. Electronic Science and Technology, 2022, 35(3): 32-37.
[15]	Xuanfeng SHANGGUAN,Tingyu YANG,Jinsong WEI,Yongjian LIU. Design Analysis and Modeling Simulation of Brushless DC Motor [J]. Electronic Science and Technology, 2022, 35(3): 71-78.