Fixed Wing Unmanned Aerial Vehicle Control by Non-linear PID Controller

Selamawit Mekuria Dubale, Mebaye Belete Mamo, Bethlehem Nigusse Mulugeta

Abstract


This paper presents the modeling and control of a fixed-wing unmanned aircraft. The flight dynamics of this system is obtained by using newton’s second law of motion. Then after, a non-linear PID (NPID) controller is designed for this system which is also useful to minimize the difference that could be caused when using a linearized model of this system. To check the robustness of the controllers, an external disturbance is added through out the simulation time; in addition, the controller gain values are kept in an acceptable range. Furthure more, H2 and H norms have been used to get a numerical representation of the robusteness; the frequency of control signal to the system has been measured. Finally, using the non-linear model of the system; the designed controller is simulated on MATLAB Simulink software. The results show that the states followed the desired trajectory with an acceptable control effort in the presence of external disturbance having an input signal that won’t be harmful to equpments.


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References


k. P.Valavanis, Handbook of Unamnned Aerial Vehicles, netherland: springer, 2015.

R. Austin, Unmanned Air Systems UAV Design Development and Deployment, UK: Wiley, 2010.

Erbil, M. Ali, S. Prior, M. Karamanoglu, S. Odedra, C. B. Lewis and Darren, “Reconfigurable unmanned aerial vehicles,” In International Conference on Manufacturing and Engineering Systems. Proceedings, International Conference on Manufacturing and Engineering Systems, pp. 392-396, 2009.

Enns, Dale, D. Bugajski, R. Hendrick and G. Stein, “Dynamic inversion: an evolving methodology for flight control design,” International Journal of control 59, pp. 71-91., no. 1 (1994).

Arifianto, Ony and M. Farhood, “Optimal control of a small fixed-wing UAV about concatenated trajectories,” Control Engineering Practice 40, pp. 113-132, (2015).

T. Espinoza, A. Dzul, L. Rogelio and P. Pavel, “Backstepping-sliding mode controllers applied to a fixed-wing UAV.,” Journal of Intelligent & Robotic Systems 73, pp. 67-79, 2014.

Q. Shiyin and S. Amr, “Adaptive PID control of UAV altitude dynamics based on parameter optimization with fuzzy inference,” International Journal of Modeling and Optimization 6 no. 4,, p. 246, 2016.

M. Albaker and N. A. Rahim, “Flight path PID controller for propeller-driven fixed-wing unmanned aerial vehicles,” International Journal of the Physical Sciences 6, no. 8, pp. 1947-1964, 2011.

B. Niku Saeed, Introduction to robotics: analysis, systems, applications Vol. 7., New Jersey: Prentice hall, 2001.

Rogers and M. Robert, Applied mathematics in integrated navigation systems, American Institute of Aeronautics and Astronautics, 2007.

RandalBeard and TimothyMcLain, Small unmanned aircraft: Theory and practice, Princeton university press, 2012.

Slotine, E. JeanJacques and WeipingLi, Applied nonlinear control. Vol. 199, no. 1., Englewood Cliffs, NJ: Prentice hall, 1991.

Y. Shtessel, C. Edwards, L. Fridman and A. Levant, Sliding Mode Control and Observation, New York: Springer Science and Business Media, 2014.

L. Stevens Brian, L. Lewis Frank and N. Johnson Eric, Aircraft control and simulation: dynamics, controls design, and autonomous systems, John Wiley & Sons, 2015.

HermanCastañeda, s. Oscar and JesúsdeLeón-Morales, “Extended observer based on adaptive second order sliding mode control for a fixed wing UAV,” ISA transactions 66, pp. 226-232, 2017.


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