软翼飞行器多体动力学建模与运动特性分析

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (8): 1841-1845.

软翼飞行器多体动力学建模与运动特性分析

张昊, 陈自力, 邱金刚

军械工程学院无人机工程系,石家庄 050003

收稿日期:2015-02-01 修回日期:2015-05-12 出版日期:2016-08-08 发布日期:2020-08-17
第一作者简介:张昊(1988-),男,山西临汾,博士生,研究方向为飞行器动力学建模与控制方法;陈自力(1964-),男,山西运城,教授,研究方向为飞行器导航、制导与控制等。
基金资助:
国家自然科学基金(51175508), 总装院校创新工程(ZYX12080007)

Modeling and Motion Analysis of Multi-bodies Dynamic of Unmaned Parafoil Vehicle

Zhang Hao, Chen Zili, Qiu Jingang

Department of UAV Engineering, Ordnance Engineering College, Shijiazhuang 050003, China

Received:2015-02-01 Revised:2015-05-12 Online:2016-08-08 Published:2020-08-17

摘要/Abstract

摘要： 软翼飞行器以其优越的飞行性能和应用优势已渐渐成为新型飞行器领域的研究热点。针对软翼飞行器两点柔性连接的特殊结构,考虑软翼附加质量与两体间相对运动,提出了一种八自由度(Degrees Of Freedom, DOF)非线性动力学模型;分别仿真分析了模型在稳定滑翔状态下对马力变化、单侧下偏与双侧下偏操作的响应情况飞行特性,结果表明软翼飞行器的操纵动作会引起两体间不同程度的相对运动,进而验证模型的正确性与适用性。

关键词: 软翼飞行器, 多体, 动力学建模, 仿真分析

Abstract: Unmanned Parafoil Vehicle (UPV) has gradually become a hotspot in the flexible wing vehicle research filed for its superior fight performance and advantages in application. An eight degrees of freedom (DOF) nonlinear dynamic model of UPV in mechanism law was proposed, aiming at the structure characteristics of the two flexible connections, and considering the added mass of canopy and the relative motion of two bodies. The response of model to different levels of thrust changes was simulated and analyzed, pulling a single steering line and pulling the left and right steering lines of canopy symmetrically on the steady state of gliding. The simulation results illustrate that operator will cause the relative motion between two bodies which cannot be ignored, and also verify the validity and utility of model.

Key words: unmanned parafoil vehicle, multi-bodies, dynamic modeling, simulation analysis

中图分类号:

V211.4

张昊,陈自力,邱金刚 . 软翼飞行器多体动力学建模与运动特性分析[J]. 系统仿真学报, 2016, 28(8): 1841-1845.

Zhang Hao,Chen Zili,Qiu Jingang . Modeling and Motion Analysis of Multi-bodies Dynamic of Unmaned Parafoil Vehicle[J]. Journal of System Simulation, 2016, 28(8): 1841-1845.

参考文献 12

[1]	Nie H Zhang M, Zhu R. Stochastic Optimal Control of Flexible Aircraft Taxiing at Constant or Variable Velocity[J]. Nonlinear Dyn (S0924-090X), 2010, 62(1/2): 485-497.
[2]	Slegers N.Effects of Canopy-payload Relative Motion on Control of Autonomous Parafoils[J]. Journal of Guidance Control and Dynamics (S0731-5090), 2010, 33(1): 116-125.
[3]	Ward M, Costello M.Parametric Study of Powered Parafoil Flight Rynamics[C]// Minesota: AIAA Atmospheric Flight Mechanics Conference, 2012. USA: AIAA, 2012.
[4]	Zaitsev P V, Formal'skii A M. Mathematical Modeling of Controlled Longitudinal Motion of A Paraglider[J]. Computational Mathematics and Modeling (S1046-283X), 2013, 24(3): 418-431.
[5]	Ochi Y.Linear Dynamics and PID Flight Control of a Powered Paraglider[J]. Journal of Gaidance Control and Dynamics (S0731-5090), 2010, 32(S1): 78-89.
[6]	Heise M, S Muller. Dynamic Modeling and Xisualization of Multi-body Flexible System[C]// Rhode Island: AIAA Model and Simulation Technologies Coference and Exhibit, 2004. USA: AIAA, 2004.
[7]	Muller S, Wagner O, Sachs G.A High-fidelity Nonolinear Multibody Simulation Model for Parafoil System[C]// California: AIAA Aerodynamic Decelerator System Technology Conference and Seminar, 2001. USA: AIAA, 2001.
[8]	熊菁. 翼伞系统动力学与归航方案研究 [D]. 长沙: 国防科技大学, 2006.
[9]	张俊韬, 侯中喜. 动力翼伞系统纵向动力学建模研究[J]. 系统仿真学报. 2010, 22(11): 2541-2544.
[10]	Goodrick T F.Comparision of Simulation and Experimental Data for a Gliding Parachut in Dynamic[C]// San Diego: AIAA Aerodynamic decelerator and Balloon Technology Conference, 1981. USA: AIAA, 1981.
[11]	Barrows T.Apparent Mass of Parafoil with Spanwise Camber[J]. Journal of Aircraft (S0021-8669), 2002, 39(3): 445-451.
[12]	Glen J.Parafoil Turn Response To Control Input[C]// Reno: AIAA aerospace Sciences Meeting and Exhibit, USA: AIAA, 1993: 248-254.

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