The Recent Advance of Unmanned Quadrocopter

Article Preview

Abstract:

In recent years, with the rapid development of micro electro mechanical system and DSP in high operation speed and low power consumption and high polymer lithium battery, all this creates the conditions for the development of micro unmanned aerial vehicles. UAVs possess the advantages of simple structure, flexible flight, the capability of vertical takeoff and landing, great passing ability, better carrying capacity, and so on. They can be used widely in various fields such as disaster emergency and rescue, urban mapping, outdoors exploration. The unmanned quadrocopter aroused interest among those scholars for itspotential application prospect and value in use. This paper briefly summarizes the history of application and development of the unmanned quadrocopter, and reviews the new algorithm and progress in the study of the unmanned quadrocopter and application of the unmanned quadrocopter at home and abroad.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

564-568

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Leishman J G. TheBregct-Riehet quad-rotor helicopter of 1907, J. Vertifilte, 2002, 47(3): 58-60.

Google Scholar

[2] WuJunQi. Quadrotor Layout on Cross Lifting Body Integrated Design and Investigation of Aerodynamic characteristic. Nanjing University of Aeronautics and Astronautics, (2009).

Google Scholar

[3] Sayed Ali Raza. Design and Control of a Quadrotor Unmanned Aerial Vehicle. Ottawa, Canada: University of Ottawa. (2010).

Google Scholar

[4] TanGuangCao. Design and Implementation of Attitude Control System for AQuadrotor UAV. DaLian University of Technology, (2013).

Google Scholar

[5] SongShuXi. RESEARCH ON CONTROL ALGORITHM FOR QUADROTOR UNMANNED HELICOTER. SHENYANG AEROSPACE UNIVERSITY , (2012).

Google Scholar

[6] Li Yao. Design of quadrotor Aircraft Control System. DaLian University of Technology, (2013).

Google Scholar

[7] SuJingYa, FANPengHui, CAIKaiYuan. Attitude control of quadrotor aircraft via nonlinear PID, J. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(9), 1054-1058.

Google Scholar

[8] GuoQianQian. Study on Design and Control Method for Mini-Quadrotor UAV Control System. Jilin University, (2013).

Google Scholar

[9] WangLiXin. Design of Attitude Control Based on Sliding Mode Control Theory with Quadrotor. Northeastern University, (2009).

Google Scholar

[10] LvQiang, WANGDongLai, WANGShuLiang. L1 Adaptive Control Method Based on Variable Structure Neural Network, J. Journal of Academy of Armored Force Engineering, 2012, 26(4), 50-54.

Google Scholar

[11] WangShuGang. RESEARCH OF QUADROTOR CONTROL. Harbin Institute of Technology, (2006).

Google Scholar

[12] NieBoWen. Study on Model and Control Method for Micro Quadrotor. National University of Defense Technology, (2006).

Google Scholar

[13] Bouabdallahs, NothA, Siegwart R. PID vs LQ Control Techniques Applied to an Indoor Micro Quadrotor[C]. IEEE International Conference on Intelligent Robots and Systems, (2004).

DOI: 10.1109/iros.2004.1389776

Google Scholar

[14] Johnson E N, Calise A J. Pseudo-control hedging: A new method for adaptive control[C]/Advances in Navigation Guid-ance and Control Technology Workshop. (2000).

Google Scholar

[15] Fang Ting. Key Technology Research on Vision Perception in Unmanned Aerial Vehicles Cooperative Formation Flight. Nanjing University of Aeronautics and Astronautics, (2008).

Google Scholar

[16] Muller. M, Lupashin. S et al. Quadrocopter ball juggling[C]. In the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robtics, 2011: 5113-5120.

DOI: 10.1109/iros.2011.6094506

Google Scholar

[17] Erhard, Sara; Wenzel, Karl; Zell, Andreas. Flyphone Visual self-localisation using a mobile phone as onboard image processor on a quadrocopter[C]. Journal of Intelligent and Robotic Systems: Theory and Applications, 2010, 451-465.

DOI: 10.1007/s10846-009-9360-8

Google Scholar

[18] Bosnak, Matevz and Blazic, Saso. Sparse VSLAM with camera-equipped quadrocopter[C]. Autonomous and Intelligent Systems - Third International Conference. 2012, 135-140.

DOI: 10.1007/978-3-642-31368-4_16

Google Scholar

[19] Klose, Sebastian; wang, jian; Achtelik, Michael el al. Markerless, vision-assisted flight control of a quadrocopter[C]. IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, 2010, 5712-5717.

DOI: 10.1109/iros.2010.5649019

Google Scholar

[20] GuoJiaQi, WUJie, JIAGNYiQi. Research and Design of Inspection Vehicle for High Voltage Transmission Lines, J. Joumal of Nanjing Institute of Technology, 2012, 10(1)40-42.

Google Scholar