Autonomous Flight Performance Improvement of Load-Carrying Unmanned Aerial Vehicles by Active Morphing

In this paper, it is aimed to improve autonomous flight
performance of a load-carrying (payload: 3 kg and total: 6kg)
unmanned aerial vehicle (UAV) through active wing and horizontal
tail active morphing and also integrated autopilot system parameters
(i.e. P, I, D gains) and UAV parameters (i.e. extension ratios of wing
and horizontal tail during flight) design. For this purpose, a loadcarrying
UAV (i.e. ZANKA-II) is manufactured in Erciyes
University, College of Aviation, Model Aircraft Laboratory is
benefited. Optimum values of UAV parameters and autopilot
parameters are obtained using a stochastic optimization method.
Using this approach autonomous flight performance of UAV is
substantially improved and also in some adverse weather conditions
an opportunity for safe flight is satisfied. Active morphing and
integrated design approach gives confidence, high performance and
easy-utility request of UAV users.




References:
[1] Austin, R. 2010. Unmanned aircraft systems. Wiley.
[2] Dink, Y., Liu, Y. C., and Hsiao, F. B. The application of extended
Kalman filtering to autonomous formation flight of small UAV system.
Aircraft Engineering and Aerospace Technology. 1(2), 154-186.
[3] Drak, A., Hejase, M., ElShorbagy, M., Wahyudie, A., & Noura, H.
2014. Autonomous Formation Flight Algorithm and Platform for
Quadrotor UAVs. International Journal of Robotics and Mechatronics.
1(4), 124-132.
[4] Luca De Filippis, Giorgio Guglieri, Fulvia B. Quagliotti. 2014. A novel
approach for trajectory tracking of UAVs. Aircraft Engineering and
Aerospace Technology: An International Journal. 86 (3), 198 – 206.
[5] Hadi, G., Varianto, R., Trilaksono, B., and Budiyono, A. 2014.
Autonomous UAV System Development for Payload Dropping Mission.
Journal of Instrumentation, Automation, and Systems. 1(2), 72-77.
[6] Grigoriadis, K. M., Carpenter, M. J. Zhu, G., and Skelton, R. E. 1993.
Optimal Redesign of Linear Systems. Paper presented at Proceedings of
the American Control Conference, San Francisco, CA.
[7] Grigoriadis, K. M., Zhu, G., and Skelton, R. E. 1996. Optimal Redesign
of Linear Systems. Journal of Dynamic Systems, Measurement, and
Control. 118 (3), 598–605.
[8] Krog, L., Tucker, A., Kemp, M., and Boyd, R. 2004. Topology
Optimization of Aircraft Wing Box Ribs. Paper presented at 10th
AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference.
Albany, New York, USA.
[9] Park, K., Han, J. W., Lim, H. J., Kim, B. S. and Lee, J. 2008. Optimal
Design of Airfoil with High Aspect Ratio in Unmanned Aerial Vehicles.
World Academy of Science, Engineering and Technology, 2 (4), 171-
177.
[10] Qun, W. and Hong-quang, J. 2011. Optimal design of UAV’s pod shape.
Paper presented at International Symposium on Photoelectronic
Detection and Imaging: Advances in Infrared Imaging and Applications
Beijing, China.
[11] Moosavian, A., Xi, F., and Hashemi, S. M. 2013. Design and Motion
Control of Fully Variable Morphing Wings. Journal of Aircraft. 50(4),
1189-1201.
[12] Yue, T. and Wang, L. 2013. Longitudinal Linear Parameter Varying
Modeling and Simulation of Morphing Aircraft. Journal of Aircraft.
50(6), 1673-1681.
[13] Chao, H., Cao, Y., and Chen, Y. Q. 2007. Autopilots for Small Fixed-
Wing Unmanned Aerial Vehicles: A Survey. Paper presented at IEEE
International Conference on Mechatronics and Automation, Harbin,
China.
[14] Jung, D., Ratti, J., Tsiotras, P. 2009. Real-time implementation and
validation of a new hierarchical path planning scheme of UAVs via
hardware-in-the-loop simulation. Journal of Intelligent and Robotic
Systems, 54 (1-3), 163-281.
[15] Sartori, D. 2014. Design, implementation, and testing of advanced
control laws for fixed-wing UAVs. PhD dissertation, Politecnico di
Torino, Torino, Italy.
[16] Nelson, R. C. 2007. Flight Stability and Automatic Control. 2nd ed.,
McGraw-Hill, New York, chapters 2-6.
[17] Zagi-The original R/C EPP foam wing homepage (2015),
http//:www.zagi.com.
[18] Vural, S. Y. and Hajiyev, C. 2008. Autopilot system design for a small
unmanned aerial vehicle. MS thesis, Istanbul Technical University,
Istanbul, Turkey.
[19] Vural, S. Y. and Hajiyev, C. 2013. LQR controller with Kalman
estimator applied to UAV longitudinal dynamics. Scientific Research
Journal. 4, 36-41.
[20] Cardenas, E. M., Boschetti, P. J., and Celi, M. R. 2012. Design of
control systems to hold altitude and heading in severe atmospheric
disturbances for an unmanned airplane. Paper presented at 50th AIAA
Aerospace Sciences Meeting including the New Horizons Forum and
Aerospace Exposition, Nashville, Tennessee.
[21] Jeni, S. D. and Budiyono, A. 2006. Automatic Flight Control System”,
Lecture notes for Malaysian Institute of Aviation Technology.
[22] U.S. Military Handbook MIL-HDBK-1797, 1997.
[23] Jang, J. S., Liccardo, D. 2006. Automation of small UAVs using a low
cost mems sensor and embedded computing platform.
[24] Sultan, C. 2010. Proportional damping approximation using the energy
gain and simultaneous perturbation stochastic approximation.
Mechanical Systems and Signal Processing. 24, 2210-2224.
[25] Oktay, T. 2012. Constrained control of complex helicopter models. PhD
Dissertation, Virginia Tech.
[26] Oktay, T. and Sultan, C. (2013), “Simultaneous helicopter and controlsystem
design,” Journal of Aircraft, Vol. 50, No. 3, pp. 32-47.
[27] Sadegh, P. and Spall, J. C. (1998), “Optimal random perturbations for
multivariable stochastic approximation using a simultaneous
perturbation gradient approximation”, IEEE Transactions on Automatic
Control, 43(10), pp. 1480-1484.
[28] He, Y. and Fu, M. C. (2003), “Convergence of simultaneous
perturbation stochastic approximation for non-differentiable
optimization”, IEEE Transactions on Aerospace and Electronic Systems,
48 (8), 1459-1463.