舰载机着舰航线侧方计时建模与分析

doi:10.3969/j.issn.1001-506X.2020.06.17

系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (6): 1332-1337.doi: 10.3969/j.issn.1001-506X.2020.06.17

舰载机着舰航线侧方计时建模与分析

岳奎志¹(), 赵建忠²(), 程亮亮³(), 郁大照¹()

1. 海军航空大学航空基础学院, 山东烟台 264001
2. 海军航空大学岸防兵学院, 山东烟台 264001
3. 海军航空大学作战勤务学院, 山东烟台 264001

收稿日期:2019-07-03 出版日期:2020-06-01 发布日期:2020-06-01
作者简介:岳奎志(1981-),男,副教授,博士,主要研究方向为舰载机工程、飞行原理、隐身技术。E-mail:yuekuizhi_2000@sohu.com|赵建忠(1978-),男,讲师,博士,主要研究方向为航母机载弹药保障、航空导弹技术保障、综合保障工程。E-mail:zjznavy@163.com|程亮亮(1982-),男,讲师,博士,主要研究方向为航空兵作战保障。E-mail:chengliangliang@sohu.com|郁大照(1976-),男,副教授,博士,主要研究方向为飞机工程、保障技术。E-mail:ytyudazhao@aliyun.com
基金资助:
国家自然科学基金(51375490)

Analysis and modeling of timing abeam on landing pattern for embarked aircraft

Kuizhi YUE¹(), Jianzhong ZHAO²(), Liangliang CHENG³(), Dazhao YU¹()

1. Aviation Foundation College, Naval Aviation University, Yantai 264001, China
2. Coastal Defense Force College, Naval Aviation University, Yantai 264001, China
3. Operational Service College, Naval Aviation University, Yantai 264001, China

Received:2019-07-03 Online:2020-06-01 Published:2020-06-01
Supported by:
国家自然科学基金(51375490)

摘要/Abstract

摘要：

为了提高航母回收舰载机的成功率,针对舰载机在着舰航线的顺风飞行距离精准问题,进行侧方计时研究。考虑航母航行使下滑道距离变长,舰载机顺风边飞行时自然风速使地速变大,自然风对舰载机下降转弯产生漂移影响,基于飞行动力学理论,建立了舰载机在着舰航线上侧方计时的数学模型,并对此模型进行数值模拟分析。结论如下:本模型适合于不同重量、不同挂载、不同型号的常规起降方式的固定翼舰载机在着舰航线上进行侧方计时的计算。

关键词: 舰载机, 着舰航线, 侧方计时, 模型

Abstract:

For the sake of successful recovery of the embarked aircraft, the research of timing abeam is carried out to solve the problem of accurate distance on the downwind leg in the landing pattern. The glide slope distance of the aircraft can be extended for the motion of the sailing carrier, the ground velocity of the aircraft is naturally increased on the downwind leg and the flight path of the aircraft could be shifted when turning down in the landing pattern because of the natural wind. The factors above have great impact on recovery and should be taken into consideration, thus a model of the timing abeam for the aircraft on landing pattern is presented based on the flight dynamics theories and the numerical analysis is conducted with the model. The numerical simulation suggests that the method of the model is suitable for different types of the conventional take-off and landing fixed-wing carrier aircraft with different weights and munitions, and reasonable results can be obtained through the model.

Key words: embarked aircraft, landing pattern, timing abeam, model

中图分类号:

TP302.7

岳奎志, 赵建忠, 程亮亮, 郁大照. 舰载机着舰航线侧方计时建模与分析[J]. 系统工程与电子技术, 2020, 42(6): 1332-1337.

Kuizhi YUE, Jianzhong ZHAO, Liangliang CHENG, Dazhao YU. Analysis and modeling of timing abeam on landing pattern for embarked aircraft[J]. Systems Engineering and Electronics, 2020, 42(6): 1332-1337.

图/表 8

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参考文献 30

1	王鹏, 焦晓辉. 舰载机着舰指挥引导技术[J]. 中国科技信息, 2019, (Z1): 35- 36.
	WANG P , JIAO X H . Ship borne aircraft landing command and guidance technology[J]. China Science and Technology information, 2019, (Z1): 35- 36.
2	张雯, 张强. 基于航迹预测的着舰指挥决策算法[J]. 哈尔滨工程大学学报, 2019, 40 (1): 181- 188.
	ZHANG W , ZHANG Q . Carrier landing command decision making algorithm based on trajectory prediction[J]. Journal of Harbin Engineering University, 2019, 40 (1): 181- 188.
3	陈胜杰, 焦晓辉, 王鹏. 舰载机着舰中侧风和常值甲板风的影响研究[J]. 航空科学技术, 2016, 27 (4): 41- 45.
	CHENG S J , JIAO X H , WANG P . Research on effect of crosswind and cons deck wind in carrier aircraft landing[J]. Aeronautical Science & Technology, 2016, 27 (4): 41- 45.
4	叶兵, 孙洪波, 张力, 等. 眼位影响下着舰信号官指挥战位位置[J]. 指挥控制与仿真, 2014, 36 (6): 82- 84, 87. doi: 10.3969/j.issn.1673-3819.2014.06.017
	YE B , SUN H B , ZHANG L , et al. Design of landing signal officer station based on eye-position[J]. Command Control & Simulation, 2014, 36 (6): 82- 84, 87. doi: 10.3969/j.issn.1673-3819.2014.06.017
5	CHENG L L , YUE K Z , HUANG Z H . A prediction model for night recovery of embarked aircrafts based on system dynamics[J]. Journal of Aerospace Technology and Management, 2017, 9 (4): 1- 8.
6	吴文海, 张杨, 胡云安, 等. 舰载机着舰非线性反演控制方法研究进展[J]. 系统工程与电子技术, 2018, 40 (7): 1578- 1587.
	WU W H , ZHANG Y , HU Y A , et al. Research development in nonlinear backstepping control method method of carrier-based aircraft landing[J]. Systems Engineering and Electronics, 2018, 40 (7): 1578- 1587.
7	CHEN C , TAN W Q , LI H X , et al. A fuzzy human pilot model of longitudinal control for a carrier landing task[J]. IEEE Trans.on Aerospace and Electronic Systems, 2008, 54 (1): 453- 466.
8	钟涛. 舰载机进场动力补偿系统设计[J]. 应用科技, 2013, 40 (2): 40- 43.
	ZHONG T . The design of the approach power compensator system of a carrier-based aircraft[J]. Application Science Technology, 2013, 40 (2): 40- 43.
9	FORREST J S , KAARIA C H , OWEN I . Evaluating ship superstructure aerodynamics for maritime helicopter operations through CFD and flight simulation[J]. Aeronautical Journal, 2016, 120 (1232): 1578- 1603. doi: 10.1017/aer.2016.76
10	LASALLE N R , SNYDER M R , KANG H S , et al. Modification of ship air wakes with passive flow control[J]. Naval Engineers Journal, 2016, 128 (14): 69- 81.
11	YUAN W X , WALL A , LEE R . Combined numerical and experimental simulations of unsteady ship airwakes[J]. Computers & Fluids, 2018, 172, 29- 53.
12	LI J N , DUAN H B . Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system[J]. Aerospace Science and Technology, 2015, 42, 187- 195. doi: 10.1016/j.ast.2015.01.017
13	LI C X, GANG L, HONG G X. A method of F/A-18 carrier landing position prediction based on back propagation neural network[C]// Proc.of the International Conference on Mechanical & Aerospace Engineering, 2016: 507-511.
14	WU Y , SUN L G , QU X J . A sequencing model for a team of aircraft landing on the carrier[J]. Aerospace Science and Technology, 2016, 54, 72- 87. doi: 10.1016/j.ast.2016.04.007
15	CHEN C , TAN W Q , LI H X , et al. A fuzzy human pilot model of longitudinal control for carrier landing task[J]. IEEE Trans.on Aerospace and Electronic Systems, 2017, 54 (1): 453- 466.
16	SU X C , WU Y , SONG J Y , et al. A fuzzy path selection strategy for aircraft landing on the carrier[J]. Applied Sciences, 2018, 8 (5): 779- 800. doi: 10.3390/app8050779
17	WU W H , JIE W , LIU J T , et al. Carrier landing robust control based on longitudinal decoupling[J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2017, 34 (6): 609- 616.
18	ZHEN Z Y , JIANG S Y , JU J . Preview control and particle filtering for automatic carrier landing[J]. IEEE Trans.on Aerospace & Electronic Systems, 2018, 54 (6): 2662- 2674.
19	GUAN Z Y , MA Y P , ZHENG Z W , et al. Prescribed performance control for automatic carrier landing with disturbance[J]. Nonlinear Dynamics, 2018, 94 (2): 1335- 1349. doi: 10.1007/s11071-018-4427-3
20	CHEN Z G, WEI H, CHEN J F, et al. Simulation of the longitudinal carrier landing in different sea-states for carrier-based aircraft[C]//Proc.of the International Symposium on Computational Intelligence & Design, 2016: 474-477.
21	JIANG L J, YAO Y J, LI Z L, et al. User-experience-based visual design study for carrier optical landing-aid system[C]//Proc.of the International Conference of Design, User Experience and Usability, 2018: 200-217.
22	LU K K, YU J Y, KOU K H. The top-level design study for the automatic carrier landing system[C]//Proc.of the Guidance, Navigation & Control Conference, 2017: 1704-1707.
23	YANG Z Y , DUAN H B , FAN Y M , et al. Automatic carrier landing system multilayer parameter design based on cauchy mutation pigeon-inspired optimization[J]. Aerospace Science & Technology, 2018, 79, 518- 530.
24	SUN G Q, ZENG S K, GUO J B, et al. A quantitative evaluation method of pilot errors during landing process of carrier-based aircraft[C]//Proc.of the 1st International Conference on Reliability Systems Engineering, 2016.
25	ZHAO J Y , SUN G Q , ZENG S K , et al. The reliability assessment of human systems interaction for aircraft carrier landing[J]. Journal of Mechanical Science & Technology, 2016, 30 (10): 4465- 4469.
26	ZHENG Z W , JIN Z H , LIANG S , et al. Adaptive sliding mode relative motion control for autonomous carrier landing of fixed-wing unmanned aerial vehicles[J]. IEEE Access, 2017, 5, 5556- 5565. doi: 10.1109/ACCESS.2017.2671440
27	LEE S K , LEE J H , LEE S M , et al. Sliding mode guidance and control for UAV carrier landing[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 55 (2): 951- 966. doi: 10.1109/TAES.2018.2867259
28	ZHEN Z Y , MA K , KUMAR B A . Automatic carrier landing control for unmanned aerial vehicles based on preview control[J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2017, 34 (4): 413- 419.
29	NING J, LEI Z H, YAN S D. An Independently carrier landing method using point and line features for fixed-wing UAVs[C]// Proc.of the Chinese Conference on Image and Graphics Technologies, 2016: 176-183.
30	ZHOU D, ZHOU J L, ZHANG M J, et al. Deep learning for unmanned aerial vehicles landing carrier in different conditions[C]// Proc.of the International Conference on Advanced Robotics, 2017: 469-475.

甲板合成风速/(m/s)	侧方计时时间t₁/s
15	12.4
14	13.2
13	13.9
12	14.7
11	15.5
10	16.4
9	17.2
8	18.1

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舰载机着舰航线侧方计时建模与分析

Analysis and modeling of timing abeam on landing pattern for embarked aircraft

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