Key Technology Research on Stall Spin Simulation Training System of an Aircraft

doi:10.16182/j.issn1004731x.joss.22-0237

Abstract

Abstract:

Aiming at the domestic aircraft stall spin simulation training need, a stall spin simulation training system is developed. The training system consists of the multi-channel dome visual system, the semi-physical simulation cockpit and the maneuvering force control loading system, etc. Distributed simulation technology is used to develop a realistic man-in-the-loop simulation training environment. For the stall spin simulation, the multi-source aerodynamic data is processed comprehensively, and an unsteady aerodynamic model at high angle of attack (AOA) is constructed, and the heavy-load digital electric control loading technology is used to realize the simulation of stall spin alternating force and jitter characteristics of steering, which realizes the stall spin simulation training of man-in-the-loop.

Key words: stall spin, simulation and training, maneuvering force control loading, unsteady flow aerodynamics, man-in-the-loop

CLC Number:

TP391

Guangxu Xi, Yongyi Liu, Chong Wu, Junjie Zhang, Yinghao Chen. Key Technology Research on Stall Spin Simulation Training System of an Aircraft[J]. Journal of System Simulation, 2022, 34(4): 878-890.

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References 17

1	Lin G F, Lan C E. A Generalized Dynamic Aerodynamic Coefficient Model for Flight Dynamics Application[C]. AIAA-97-3643, 1997.
2	杨勐. 大攻角非定常气动力建模和气动模型及飞行仿真研究[D]. 南京: 南京航空航天大学, 2011.
	Yang Meng. Large Angle of Attack Non-Constant Aerodynamic Modeling and Aerodynamic Modeling and Flight Simulation Research[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2011.
3	Wang Zhongjun, Lan Edward C. Unsteady Aerodynamic Effects on The Flight Characteristics of An F-16XL Configuration[C]. AIAA-2000-2964, 2000.
4	汪清, 钱炜祺, 丁娣. 飞机大迎角非定常气动力建模研究进展[J]. 航空学报, 2016, 37(8): 2231-2347.
	Wang Qing, Qian Weiqi, Ding Di. A Review of Unsteady Aerodynamic Modeling of Aircraft at High Angle of Attack[J]. Journal of Aeronautics, 2016, 37(8): 2231-2347.
5	齐万涛, 李伟, 吕新波. 飞机失速/尾旋特性飞行仿真方法研究[J]. 航空科学技术, 2016, 27(6): 16-19.
	Qi Wantao, Li Wei, Xinbo Lü. Study on the Flight Simulation Method of Aircraft Stall/Tailspin Characteristics[J]. Aviation Science and Technology, 2016, 27(6): 16-19.
6	饶秋磊, 韩意新. 大迎角气动力建模与失速/尾旋模态仿真[J]. 应用力学学报, 2018, 35(3): 472-478.
	Rao Qiulei, Han Yixin. Aerodynamic Modeling and Stall/Tail Rotation Modal Simulation for Large Angle of Attack[J]. Journal of Applied Mechanics, 2018, 35(3): 472-478.
7	刘超, 刘庆, 田福礼. 用于气动导数辨识的试飞数据处理方法研究[J]. 航空工程进展, 2014, 5(2): 187-192.
	Liu Chao, Liu Qing, Tian Fuli. Research on Test Flight Data Processing Method for Aerodynamic Derivative Identification[J]. Advances in Aeronautical Engineering, 2014, 5(2): 187-192.
8	西光旭, 雷励星, 吴冲, 等. 飞行模拟器和飞行训练模拟方法: 202110540610.0[P]. 2021-10-18.
	Xi Guangxu, Lei Lixing, Wuchong, et al. Flight Simulator and Flight Training Simulation Method: 202110540610.0[P]. 2021-10-18.
9	周光勇. 大攻角非定常气动力建模及飞机尾旋特性的仿真研究[D]. 南京: 南京航空航天大学, 2013.
	Zhou Guangyong. Simulation Study of Large Angle of Attack Non-Constant Aerodynamic Modeling and Aircraft Tailspin Characteristics[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2013.
10	西光旭, 吴冲, 雷励星, 等. 失速尾旋实时飞行仿真建模及失速尾旋飞行模拟方法: 202110540652.4[P]. 2021-10-13.
	Xi Guangxu, Wu Chong, Lei Lixing, et al. Real-Time Flight Simulation Modeling of Stall-Tailspin and Stall-Tailspin Flight Simulation Method: 202110540652.4[P]. 2021-10-13.
11	邓超. 弹箭非线性角运动规律研究[D]. 南京: 南京理工大学, 2013.
	Deng Chao. Study on the Nonlinear Angular Motion Law of Bullet and Arrow[D]. Nanjing: Nanjing University of Science and Technology, 2013.
12	韩冰. 三角翼大迎角动态气动特性及结构抖振数值模拟[D]. 西安: 西北工业大学, 2014.
	Han Bing. Numerical Simulation of Dynamic Aerodynamic Characteristics and Structural Jitter of Triangular Wing with Large Angle of Attack[D]. Xi'an: Northwestern Polytechnic University, 2014.
13	龚正. 先进飞行器非定常气动力建模、控制律设计及验证方法研究[D]. 南京: 南京航空航天大学, 2011.
	Gong Zheng. Research on Unsteady Aerodynamic Modeling, Control Law Design and Verification Methods of Advanced Aircraft [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2011.
14	刘超. 大迎角飞翼布局飞行器非定常气动力分析与建模方法研究[D]. 南京: 南京航空航天大学, 2014.
	Liu Chao. Study of Non-constant Aerodynamic Analysis and Modeling Methods for Large-angle Flying Wing Layout Aircraft[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2014.
15	赵震炎, 肖业伦, 施毅坚. Dryden 大气紊流模型的数字仿真技术[J]. 航空学报, 1986, 7(5): 433-443.
	Zhao Zhenyan, Xiao Yelun, Shi Yijian. Digital Simulation of Dryden Atmospheric Turbulence Model[J]. Journal of Aeronautics, 1986, 7(5): 433-443.
16	廖峰. 基于飞行模拟机操纵系统的仿真研究[J]. 中国民航飞行学院学报, 2009, 20(2): 56-59.
	Liao Feng. Simulation Research of Control System Based on Flight Simulator[J]. Journal of Civil Aviation Flight College of China, 2009, 20(2): 56-59.
17	高亚奎, 朱江, 林皓. 飞行仿真技术[M]. 上海: 上海交通大学出版社, 2015.
	Gao Yakui, Zhu Jiang, Lin Hao. Flight Simulation Technology[M]. Shanghai: Shanghai Jiaotong University Press, 2015.

		资料1	资料2	资料3	资料4	资料5	资料6	资料7
升力系数
	基本升力系数	√	√	√	√	√	√	√
	升降舵产生的升力系数	√				√		√
	迎角变化率产生的升力系数
	地面效应产生的升力系数	√	√
	起落架产生的升力系数	√
	襟翼产生的升力系数	√	√
	发动机产生的升力系数
	外挂物产生的升力系数	√
	全机最大升力系数		√
	抖振升力系数		√		√

序号	部件名称	说明
1	左机翼	含左侧副翼和左侧襟翼
2	右机翼	含右侧副翼和右侧襟翼
3	左平尾	含左升降舵、左调整片
4	右平尾	含右升降舵、右调整片
5	机身	含起落架、减速板
6	垂尾	含方向舵、方向舵调整片

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