Dynamic Modeling and Response of a Morphing UAV with Variable Sweep and Variable Span

doi:10.3969/j.issn.1000-1093.2014.01.015

Abstract

Abstract: For morphing flight vehicles, the changes of sweep angle and span have great influence on key parameters such as aerodynamic forces, inertial moments, pressure center and gravity center. A dynamic model of morphing vehicle with variable sweep and span is established based on Newton-Euler method. The additional force and moment generalized by morphing are deduced. The dynamic response aroused by morphing is studied using decoupled longitudinal equations and quasi-steady aerodynamic model. The results indicate that the changes of sweep and span influence the dynamic characteristics severely; however, the effect of different morphing speed is not remarkable. Appropriate strategy of morphing could weaken the fluctuation of dynamic parameters and relieve the burden of control system.

Key words: applied mechanics, UAV, variable sweep and variable span, dynamic modeling, dynamic response

CLC Number:

V212.1

YANG Guan-tong, TANG Sheng-jing, ZHAO Lin-dong, GUO Jie. Dynamic Modeling and Response of a Morphing UAV with Variable Sweep and Variable Span[J]. Acta Armamentarii, 2014, 35(1): 102-107.

References

［1］ Vasista S, Tong L Y, Wong K C. Realization of morphing wings: a multidisciplinary challenge [J]. Journal of Aircraft, 2012,49(1): 11-28.
［2］ Smith K, Butt J, Von Spakovsky M R．A study of the benefits of using morphing wing technology in fighter aircraft systems[C]∥Proceedings of the 39th AIAA Thermophysics Conference. Miami, Florilia, US: AIAA, 2007: 25-28.
［3］ William A. Crossley. Morphing aircraft sizing using design optimization [J]. Journal of Aircraft. 2011,48(2): 612-622.
［4］陈钱，尹维龙，白鹏，等. 变后掠变展长翼身组合体系统设计与特性分析[J] .航空学报,2010,31(3):506-513.
CHEN Qian, YIN Wei-long, BAI Peng, et al. System design and characteristics analysis of a variable-sweep and variable-span wing-body [J]. Acta Aeronautica ET Astronautica Sinica, 2010,31(3): 506-513. (in Chinese)
［5］ Mestrinho J， Gamboa P， Santos P. Design optimization of a variable-span morphing wing for a small UAV[C]∥52nd AIAA/ASME/AHS/ASC Structures, Structural Dynamics and Materials Conference. Denver, Colorado: AIAA, ASME, ASCE, AHS, ASC, 2011: 4-7.
［6］ An J G, Yan M, Zhou W B, et al. Aircraft dynamic response to variable wing sweep geometry [J]. Journal of Aircraft, 1988, 25(3): 216-221.
［7］乐挺，王立新，艾俊强. Z型翼变体飞机的纵向多体动力学特性[J].航空学报, 2010, 31(4): 679-686.
YUE Ting, WANG Li-xin, AI Jun-qiang. Longitudinal multibody dynamic characteristics of Z-wing morphing Aircraft [J] Acta Aeronautica ET Astronautica Sinica,2010,31(4): 679-686. (in Chinese)
［8］ Henry J J， Pines D J. A mathematical model for roll dynamics by use of a morphing-Span Wing [C]∥48th AIAA/ASME/AHS/ASC Structures, Soructural Dynamics, and Materials Conference. Honolulu, Hawaii: AIAA, ASME, ASCE, AHS, ASC, 2007:23-26.
［9］ Fossen T I. Guidance and control of ocean vehicles [M]. US: John Wiley & Sons Inc, 1994:25-28.

[1]	YAO Menglei, HOU Hailiang, LI Dian, XIE Yue. Dynamic Response of Y-shaped Sandwich Plate and the Influence Factors of Anti Explosion Performance Under the Explosion Load in the Warship Cabin [J]. Acta Armamentarii, 2024, 45(3): 837-854.
[2]	YU Zhilong, LI Yinghui, PEI Binbin, XU Wenfeng, DUAN Xiaocong, SONG Kexin. Robust Adaptive Fault-tolerant Attitude Control of Flying-wing UAVs with Flight Envelope Constraints [J]. Acta Armamentarii, 2024, 45(1): 231-240.
[3]	GUO Zhiming, LOU Wenzhong, LI Tao, ZHANG Mengyu, BAI Zilong, QIAO Hu. Collaborative Route Planning of Multiple Unmanned Aerial Vehicles Considering Task Threats Based on Improved Grasshopper Optimization Algorithm [J]. Acta Armamentarii, 2023, 44(S2): 52-60.
[4]	ZHOU Meng, LIANG Minzu, LIN Yuliang. Mechanism of Coupling Effect of Shock Wave and Fragments on Clamped Square Plate [J]. Acta Armamentarii, 2023, 44(S1): 99-106.
[5]	LI Siqi, GONG Peng, SHAN Dan, LI Jianfeng, LIU Yu, GAO Xiang. Design and Implementation of Hardware-in-the-loop Test Architecture for UAV Information Attack Based on QualNet [J]. Acta Armamentarii, 2023, 44(9): 2709-2721.
[6]	HUANG Feng, WANG Weixiong, LIN Zhonglin, WU Xianyu, ZHUANG Jiaquan. Design and Experimental Study of a Novel Semi-physical Simulation Platform for Visual Navigation of Quadrotor UAVs [J]. Acta Armamentarii, 2023, 44(9): 2836-2848.
[7]	LIU Xingyu, GUO Ronghua, REN Chengcai, YAN Chao, CHANG Yuan, ZHOU Han, XIANG Xiaojia. Distributed Target Assignment Method for UAV Swarms Using Identity Hungarian Algorithm [J]. Acta Armamentarii, 2023, 44(9): 2824-2835.
[8]	YAN Yuwen, BI Wenhao, ZHANG An, ZHANG Baichuan. Task Allocation Method of UAV Clusters Based on Sequence Generative Adversarial Network [J]. Acta Armamentarii, 2023, 44(9): 2672-2684.
[9]	GONG Yuanqiang, ZHANG Yepeng, MA Wanpeng, XUE Xiao. Mechanisms of Group Intelligence Emergence in UAV Swarms [J]. Acta Armamentarii, 2023, 44(9): 2661-2671.
[10]	WANG Mengyang, ZHANG Dong, TANG Shuo, XU Bin, ZHAO Junmin. UAV Swarm On-line Mission Planning Method Based on Dynamic Allocation Strategy [J]. Acta Armamentarii, 2023, 44(8): 2207-2223.
[11]	LI Chao, WANG Ruixing, HUANG Jianzhong, JIANG Feilong, WEI Xuemei, SUN Yanxin. Autonomous Decision-making and Intelligent Collaboration of UAV Swarms Based on Reinforcement Learning with Sparse Rewards [J]. Acta Armamentarii, 2023, 44(6): 1537-1546.
[12]	ZHANG Jiandong, WANG Dinghan, YANG Qiming, SHI Guoqing, LU Yi, ZHANG Yaozhong. Multi-Dimensional Decision-Making for UAV Air Combat Based on Hierarchical Reinforcement Learning [J]. Acta Armamentarii, 2023, 44(6): 1547-1563.
[13]	ZHAO Fei, LOU Wenzhong, FENG Huanzhen, SU Zilong, WANG Jinkui, XUAN Weikun. Long-Distance Aerial Target Detection Technology of Counter-UAV Image Seeker [J]. Acta Armamentarii, 2023, 44(4): 1023-1033.
[14]	SUN Hao, SUN Qinglin, SUN Mingwei, CHEN Zengqiang. Parafoil-based UAV Recovery System Under Random Initial Conditions [J]. Acta Armamentarii, 2023, 44(3): 718-727.
[15]	YIN Yiyi, WANG Xiaofang, ZHOU Jian. Q-Learning-based Multi-UAV Cooperative Path Planning Method [J]. Acta Armamentarii, 2023, 44(2): 484-495.