Abstract
In this paper, we propose the concept of the rectangular-shaped unmanned surveillance flying car (RSUSFC), whose design is based on vehicles driven on the road. This RSUSFC offers driving and flying performance as an initial concept of a ground and aerial car. This RSUSFC is built around the previous quad rotor configuration because the quad rotor platform has significant advantages such as construction and maintenance simplicity, hovering ability, and vertical take-off and landing. Traditional quad rotor vehicles are squareshaped and move in the direction of the vertex. However, the RSUSFC moves in the direction of the one side of a rectangle like a traditional car to enhance driving performance. The dynamic modeling of the RSUFC is verified by analysis and simulation. Use of an adaptive fuzzy controller, which is very effective in a complex and nonlinear system, is suggested to stabilize the RSUSFC and is validated by MATLAB simulation.
Similar content being viewed by others
References
Skycar, http://www.moller.com/, Web, 1 Jan. (2013).
The Transition, http://www.terrafugia.com/, Web, 1 Jan. (2013).
P. Lambermont, Helicopters and autogyros of the world, Barnes, New York, USA (1958).
S. Bouabhallah, P. Murrieri and R. Siegwart, Design and control of an indoor micro quadrotor, Proc. of IEEE International Conference on Robotics and Automation, 5(1) (2004) 4393–4398.
G. Hoffmann, D. G. Rajnarayan, S. L. Waslander, D. Dostal, J. S. Jang and C. J. Tomlin, The stanford testbed of autonomous rotorcraft for multi-agent control, Proc. of AIAA/IEEE Digital Avionics Systems Conference, 2(1) (2007) 12.E.4-1–12.E.4-10.
G. M. Hoffmann, H. Huang, S. L. Waslander and C. J. Tomlin, Quadrotor helicopter flight dynamics and control: Theory and experiment, AIAA Guidance, Navigation, and Control Conference, 2(1) (2007) 1670–1689.
P. Castillo, A. Dzul and R. Lozano, Real-time stabilization and tracking of a four-rotor mini rotorcraft, IEEE Transactions on Control Systems Technology, 12(4) (2004) 510–516.
X. Gong, Z. C. Hou, C. J. Zhao, Y. Bai and Y. T. Tian, Adaptive backstepping sliding mode trajectory tracking control for a quad-rotor, International Journal of Automation and Computing, 9(5) (2012) 555–560.
D. W. Lee, H. J. Kim and S. Sastry, Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter, International Journal of Control, Automation and Systems, 7(3) (2009) 419–428.
E. Altug, J. P. Ostrowski and C. J. Taylor, Control of a quadrotor helicopter using dual camera visual feedback, The International Journal of Robotics Research, 24(5) (2005) 329–341.
L. R. G. Carrillo, A. Dzul and R. Lozano, Hovering quadrotor control: a comparison of nonlinear controllers using visual feedback, IEEE Transactions on Aerospace and Electronic Systems, 48(4) (2012) 3159–3170.
Y. Naidoo, R. Stopforth and G. Bright, Quad-rotor unmanned aerial vehicle helicopter modelling & control, International Journal of Advanced Robotic Systems, 8(4) (2011) 130–149.
H. Bouadi, M. Bouchoucha and M. Tadjine, Sliding mode control based on backstepping approach for an UAV type-quadrotor, World Academy Science, Engineering and Technology, 26(1) (2007) 22–27.
L. D. Hanh, K. K. Ahn, N. B. Kha and W. K. Jo, Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural network, Journal of Mechanical Science and Technology, 23(1) (2009) 149–160.
J. J. Craig, Introduction to robotics, third edition, Prentice Hall, 43–45, New Jersey, USA (2005).
L. X. Wang, Adaptive fuzzy systems and control, Prentice Hall, 102–154, New Jersey, USA (1994).
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Associate Editor Yang Shi
Kuktae Kim received the B.S. and M.S. degree from Sungkyunkwan University in 2008 and 2010, respectively. He currently studies for Ph.D. in Texas A&M University. His research interests include motion and force control, highly nonlinear control, multiserver and multi-client network control.
Kyoil Hwang received his B.S. degree in Mechanical Engineering from Sung kyunkwan University, Korea, in 2000. He then received his M.S. degree from Sungkyunkwan University in 2002. He is a doctor candidate in the Automatic Control Laboratory at Sungkyunkwan University.
Hun Mo Kim received his B.S. degree in Mechanical Engineering from Sung kyunkwan University, Korea, in 1984. He then received his M.S. degree of Aerospace Engineering from University of Michigan, U.S.A. 1990. He then received Ph.D. degree in Mechanical Engineering from University of Alabama, U.S.A. 1993. He is a professor in the Department of Mechanical Engineering at Sungkyunkwan University.
Rights and permissions
About this article
Cite this article
Kim, K., Hwang, K. & Kim, H. Study of an adaptive fuzzy algorithm to control a rectangular-shaped unmanned surveillance flying car. J Mech Sci Technol 27, 2477–2486 (2013). https://doi.org/10.1007/s12206-013-0633-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-013-0633-6