Rıfat HACIOĞLU, Egemen BELGE, Aytaç ALTAN, Ayşegül SUNAY

INVESTIGATION OF ROUTE TRACKING PERFORMANCE WITH ADAPTIVE PID CONTROLLER IN QUADROTOR

Depending on the intended use, the Unmanned Aerial Vehicle (UAV) must either be able to calculate the route itself to follow or be loyal to the predetermined route. In addition, in some cases, it is of paramount importance to follow the route, reduce the cost and follow the route in the most accurate way, especially under difficult conditions. The aim of this study is to investigate the system modeling of quadrotor to design the position and route following control algorithms of the system which is based on this modeling and to simulate the mentioned algorithms with adaptive proportionalintegral-derivative (PID) controller. Firstly, system modeling and mathematical equations has been developed. Secondly, the simulation environment has been created through the MATLAB program. Route tracking in this simulation environment has been performed on three different geometries, rectangle, lemniscate, spiral route tracking and the rate of the quadrotor on these routes and the amount of error has been determined. The comparison of these geometric shapes revealed the necessity of adaptive PID approaches in cases of sudden maneuvers.

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[1] Maza, I., Kondak, K., Bernard, M., Ollero, A. (2010). Multi-UAV cooperation and control for load transportation and deployment. Journal of Intelligent and Robotic Systems, 1(57), 417-449.
[2] Altan, A., Aslan, Ö., Hacıoğlu, R. (2018). Real-time control based on NARX neural network of hexarotor UAV with load transporting system for path tracking. In 2018 6th International Conference on Control Engineering & Information Technology (CEIT), İstanbul, Turkey, 1-6.
[3] Altan, A., Kökal, K., Hacıoğlu, R. (2017). Vektör alan kılavuzu yöntemi ile görsel çizgi takibi için insansız hava aracı üzerindeki yalpanın model öngörülü denetimi. Karaelmas Science and Engineering Journal, 7(1), 218-227.
[4] Tosun, D. C., Işık, Y., Korul, H. (2015). Comparision of PID and LQR controllers on a quadrotor helicopter. International Journal of Systems Applications Engineering and Development, 9, 136-143.
[5] Belge, E., Kaba, H. K., Parlak, A., Altan, A., Hacıoğlu, R. (2020). Estimation of small unmanned aerial vehicle lateral dynamic model with system identification approaches. Balkan Journal of Electrical and Computer Engineering, 8(2), 121-126.
[6] Altan, A., Hacıoğlu, R. (2020). Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances. Mechanical Systems and Signal Processing, 138, 106548.
[7] Coppejans, H. H., Myburgh, H. C. (2015). A primer on autonomous aerial vehicle design. Sensors, 15(12), 30033-30061.
[8] Selim, E., Uyar, E., Avcı, M. (2013). Quadrocopterin matematiksel modeli ve kontrolü. Otomatik Kontrol Ulusal Toplantısı (TOK2013), Malatya, Turkey, 548-551.
[9] Hernandez, A., Murcia, H., Copot, C., Keyser, R.D. (2014). Model predictive path-following control of an AR. Drone Quadrotor. In XVI Latin American Control Conference The International Federation of Automatic Control, Cancun, Mexico, 618-623.
[10] Li, J., Li, Y. (2011). Dynamic analysis and PID control for a quadrotor. In International Conference on Mechatronics and Automation (ICMA), Beijing, China, 573-578.
[11] Zulu, A., John, S. (2014). A review of control algorithms for autonomous quadrotors. Open Journal of Applied Sciences, 4, 547-556.
[12] Tanyer, A., Tatlicioglu, E., Zergeroglu, E. (2017). Model reference tracking control of an aircraft: a robust adaptive approach. International Journal of Systems Science, 48(7), 1428-1437.
[13] Pratama, N., Manggau, F. X., Betaubun, P. (2019). Attitude quadrotor control system with optimization of PID parameters based on fast genetic algorithm. International Journal of Mechanical Engineering and Technology (IJMET), 10(1), 335-343.
[14] Liu, H., Xi, J., Zhong, Y. (2017). Robust attitude stabilization for nonlinear quadrotor systems with uncertainties and delays. IEEE Transactions on Industrial Electronics, 64(7), 5585-5594.
[15] Larin, V. B., Tunik, A. A. (2016). Synthesis of the quad-rotor flight control system. In 2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), Kiev, Ukraine, 12-17.
[16] Akgun, O., Subasi, E., Turker, T. (2017). A Lyapunov based model reference adaptive control of a quadrotor. In 2017 10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 1-5.