Control and Optimization in Applied Mathematics

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Applying Robust Adaptive Lyapunov-Based Control for Hexa-Rotor

Document Type : Research Article

Author

Department of Applied Mathematics‎, ‎School of Mathematics and Computer Science‎, ‎Damghan University‎, ‎Damghan‎.

Abstract

Drones are among the most valuable and versatile technologies in the world‎, ‎with applications in a vast number of ‎‎‎fields such as traffic control‎, ‎agriculture‎, ‎firefighting and‎ ‎rescue‎, ‎and filmmaking‎, ‎to name a few‎. ‎As the development of unmanned aerial vehicles (UAVs) accelerates‎, ‎the‎ ‎safety of UAVs becomes increasingly important‎. ‎In this paper‎, ‎a robust adaptive controller is designed to improve the safety of a hexa-rotor UAV‎, ‎and a robust adaptive controller is developed to control our system‎. ‎In doing so‎, ‎the wind parameters from the aerodynamic forces and moments acting on the hexa-rotor are estimated using an observer with the adaptive algorithm‎. ‎This proposed controller guarantees stability and reliable function in the midst of parametric and non-parametric uncertainties‎. ‎The process's global stability and tracking convergence are investigated using the Lyapunov theorem‎. ‎The performance and effectiveness of the proposed controller are tested through two simulation studies‎, ‎which take into account external disturbances that are a function of time.

Keywords

References
[1] Alaimo, A., Artale, V., Milazzo, C., Ricciardello, A., Trefiletti, L. (2013). “Mathematical modeling and control of a hexacopter”, In 2013 International Conference on Unmanned Aircraft Systems (ICUAS), 1043-1050.
[2] Ali, R., Peng, Y., Iqbal, M.T., Amin, R.U., Zahid, O., Khan, O.I. (2019). “Adaptive backstepping sliding mode control of coaxial octorotor unmanned aerial vehicle”, IEEE Access, 7, 27526-27534.
[3] Analia, R., Song, K.T. (2016). “Fuzzy+ PID attitude control of a co-axial octocopter”, In 2016 IEEE International Conference on Industrial Technology (ICIT), IEEE, 1494-1499.
[4] Arellano-Muro, C.A., Luque-Vega, L.F. Castillo-Toledo, B., Loukianov, A.G. (2013). “Backstepping control with sliding mode estimation for a hexacopter”, In 2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), IEEE, 31-36.
[5] Artale, V., Milazzo, C.L.R., Ricciardello, A. (2013). “Mathematical modeling of hexa-copter”, Applied mathematical sciences, 7(97), 4805-4811.
[6] Belmonte, N., Staulo, S., Fiorot, S., Luetto, C., Rizzi, P., Baricco, M. (2018). “Fuel cell powered octocopter for inspection of mobile cranes: Design, cost analysis and environmental impacts”, Applied energy, 215, 556-565.
[7] Bouabdallah, S., Siegwart, R. (2005). “Backstepping and sliding-mode techniques applied to an indoor micro quadrotor”, In Proceedings of the 2005 IEEE international conference on robotics and automation, 2247-2252.
[8] Chen, Y., Zhang, G., Zhuang, Y., Hu, H. (2019). “Autonomous flight control for multi-rotor UAVs flying at low altitude”, IEEE Access, 7, 42614-42625.
[9] Jiao, S., Gao, H., Zheng, X., Liu, D. (2020). “Fault Tolerant Control Algorithm of Hexarotor UAV”, Journal of Robotics, 2020, 1-16.
[10] Mahony, R., Kumar, V., Corke, P. (2012). “Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor”, IEEE Robotics and Automation magazine, 19(3), 20-32.
[11] Mokhtari, A., Benallegue, A. (2004). “Dynamic feedback controller of Euler angles and wind parameters estimation for a quadrotor unmanned aerial vehicle”, In IEEE International Conference on Robotics and Automation, 3, 2359-2366.
[12] Moussid, M., Idalene, A., Sayouti, A., Medromi, H. (2015). “Autonomous hexarotor arial dynamic modeling and a review of control algorithms”, International Research Journal Of Engineering And Technology, 20, 1197-1204.
[13] Nguyen, N.P., Kim, W., Moon, J. (2019). “Super-twisting observer-based sliding mode control with fuzzy variable gains and its applications to fully-actuated hexarotors”, Journal of the Franklin Institute, 356(8), 4270-4303.
[14] Rosales, C., Soria, C. M., Rossomando, F.G. (2019). “Identification and adaptive PID Control of a hexacopter UAV based on neural networks”, International journal of Adaptive control and signal processing, 33(1), 74-91.
[15] Suicmez, E. C., Kutay, A. T. (2017). “Attitude and altitude tracking of hexacopter via LQR with integral action”, In 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 150-159.
[16] Wang, Q., Zhang, H., Han, J. (2018). “Research on trajectory planning and tracking of hexa-copter”, In MATEC Web of Conferences, 173.
[17] Wang, Y., Sun, J., He, H., Sun, C. (2019). “Deterministic policy gradient with integral compensator for robust quadrotor control”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50 (10), 3713-3725.
[18] Wen, F.H., Hsiao, F.Y., Shiau, J.K. (2021). “Analysis and management of motor failures of hexacopter in hover”, Actuators, 10, 1-29.
[19] Zhang, J., Gu, D., Deng, C., Wen, B. (2019). “Robust and adaptive backstepping control for hexacopter UAVs”, IEEE Access, 7, 163502-163514.
Control and Optimization in Applied Mathematics
Volume 7, Issue 1
Open Access Policy
Winter-Spring 2022
January 2022
Pages 1-14
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