Longitudinal flying qualities evaluation of UAV system in remote mode

Huang Chengtao; Wang Lixin

Volume 39 Issue 4

Apr. 2013

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Journal of Beijing University of Aeronautics and Astronautics > 2013 > 39(4): 427-431.

Wen Wei, Fang Wei, Huang Xiaodong, et al. Domain-oriented simulation designing and modeling tool[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 981-985. (in Chinese)

Citation:

Huang Chengtao, Wang Lixin. Longitudinal flying qualities evaluation of UAV system in remote mode[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 427-431. (in Chinese)

Wen Wei, Fang Wei, Huang Xiaodong, et al. Domain-oriented simulation designing and modeling tool[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 981-985. (in Chinese)

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Longitudinal flying qualities evaluation of UAV system in remote mode

School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

Received Date: 26 Mar 2012
Publish Date: 30 Apr 2013

Abstract

Abstract

The unmanned aerial vehicle (UAV) system model was established. According to the characteristics such as the communication data-link exists time delay, the UAV pilot can not directly feel the UAV g-load, etc, with the reference to piloted aircraft flight quality criterion, a means to evaluate the longitudinal flying qualities of UAV system in the remote mode is proposed.The short-period flying qualities and the pilot-induced oscillations (PIO) tendency of an unmanned aircraft were evaluated. The results show that, the communication data-link has little effect on the short period frequency and damping characteristics of the UAV. However, when the UAV pilot control the aircraft in the ground control station, the data-link delay time increases the equivalent delay time of the UAV system, which result in the closed-loop short-period flying qualities of the UAV system becomes poor, and the UAV has PIO tendency. To avoid the PIO tendency, missions of fast maneuvering flight should be avoid when the UAV was remotely piloted.
- aircraft,
- unmanned aerial vehicles,
- remote control,
- flying qualities,
- pilot-induced oscillations

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References(10)

References

[1]	陶于金,王建培.无人机飞行品质标准研究[J].飞行力学,2010,28(1):13-15 Tao Yujin,Wang Jianpei.Research on flying qualities criteria of the unmanned aerial vehicle[J].Flight Dynamics,2010,28(1):13-15(in Chinese)
[2]	Thurling A J,Greene K A.An improved predictive algorithm for time delay compensation in UAVS .AIAA 2001-4424,2001
[3]	丁团结,方威,王锋.无人机遥控驾驶关键技术研究与飞行品质分析[J].飞行力学,2011,29(2):17-19 Ding Tuanjie,Fang Wei,Wang Feng.Development of UAV remote-piloted key technology and flight qualities[J].Flight Dynamics,2011,29(2):17-19(in Chinese)
[4]	Holmberg J A,King D J,Leonard J R.Flying qualities specifications and design standards for unmanned air vehicles .AIAA 2008-6555,2008
[5]	Cárdenas E M,Boschetti P J,Amerio A.Stability and flying qualities of an unmanned airplane using the vortex-lattice method[J].Journal of Aircraft,2009,46(4):1461-1464
[6]	Howard R M,Bray R M,Lyons D F.Flying-qualities analysis of an unmanned air vehicle[J].Journal of Aircraft,1996,33(2):331-336
[7]	Cottingy M C.An initial study to categorize unmanned aerial vehicles for flying qualities evaluation .AIAA 2009-307,2009
[8]	MIL-STD-1797 A flying qualities of piloted aircraft[S]
[9]	高金源,李陆豫,冯亚昌,等.飞机飞行品质[M].国防工业出版社,2003 Gao Jinyuan,Li Luyu,Feng Yachang,et al.Aircraft flying qualities[M].Beijing:National Defense Industry Press,2003 (in Chinese)
[10]	宁国栋,方振平.Neal-Smith时域PIO预测准则及应用[J].北京航空航天大学学报,2005,31(4):407-451 Ning Guodong,Fang Zhenping.Time domain Neal-Smith criterion and PIO prediction[J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(4):407-451 (in Chinese)

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