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Increasing Performance of Autopilot Guided Small Unmanned Helicopter
Authors: Tugrul Oktay, Mehmet Konar, Mustafa Soylak, Firat Sal, Murat Onay, Orhan Kizilkaya
Abstract:
In this paper, autonomous performance of a small manufactured unmanned helicopter is tried to be increased. For this purpose, a small unmanned helicopter is manufactured in Erciyes University, Faculty of Aeronautics and Astronautics. It is called as ZANKA-Heli-I. For performance maximization, autopilot parameters are determined via minimizing a cost function consisting of flight performance parameters such as settling time, rise time, overshoot during trajectory tracking. For this purpose, a stochastic optimization method named as simultaneous perturbation stochastic approximation is benefited. Using this approach, considerable autonomous performance increase (around %23) is obtained.Keywords: Small helicopters, hierarchical control, stochastic optimization, autonomous performance maximization, autopilots.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338746
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[1] R. Austin, Unmanned aircraft systems. Wiley, 2010.
[2] S. Kim, A. Budiyono, J. H. Lee, D. H. Kim, K. J. Yoon, Control system design and testing for a small-scale autonomous helicopter, Aircraft Engineering and Aerospace Technology, 82(6), 353-359, 2010.
[3] H. Reza Dharmayanda, A. Budiyono and T. Kang, State-space identification and implementation of H control design for small-scale helicopter, Aircraft Engineering and Aerospace Technology, 82(6), 340- 352, 2010.
[4] I. B. Tijani, R. Akmeliawati and A. Legowa, H robust controller for autonomous helicopter hovering control, Aircraft Engineering and Aerospace Technology, 83(6), 363-374, 2011.
[5] E. Joelianto, E. M. Sumarjano, A. Budiyono, D. R. Penggalih, Aircraft Engineering and Aerospace Technology, 83(6), 363-374, 2011.
[6] 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.
[7] Jang, J. S., Liccardo, D. 2006. Automation of small UAVs using a low cost mems sensor and embedded computing platform.
[8] C. Sultan Proportional damping approximation using the energy gain and simultaneous perturbation stochastic approximation. Mechanical Systems and Signal Processing. 24, 2210-2224, 2010.
[9] T. Oktay. Constrained control of complex helicopter models. PhD Dissertation, Virginia Tech, 2012.
[10] T. Oktay and C. Sultan. Simultaneous helicopter and control-system design,” Journal of Aircraft, Vol. 50, No. 3, pp. 32-47, 2013.
[11] P. Sadegh and J. C. Spall, Optimal random perturbations for multivariable stochastic approximation using a simultaneous perturbation gradient approximation”, IEEE Transactions on Automatic Control, 43(10), pp. 1480-1484, 1998.
[12] Y. He and M. C. Fu, Convergence of simultaneous perturbation stochastic approximation for non-differentiable optimization, IEEE Transactions on Aerospace and Electronic Systems, 48(8), 1459-1463, 2003.