Evaluation of control techniques for quadcopter UAV attitude tracking

References

• Alappatt, T. B., Ajith, S. S., Jose, J., Augustine, J., Sankar, V., & George, J. M. (2021). Design and analysis of fire fighting drone. In Advances in Electrical and Computer Technologies: Select Proceedings of ICAECT 2020 (pp. 1015–1033). Springer Singapore.
   Google Scholar
• Bartolini, G., Pisano, A., Punta, E., & Usai, E. (2003). A survey of applications of second-order sliding mode control to mechanical systems. International Journal of Control, 76(9-10), 875–892. https://doi.org/10.1080/0020717031000099010
   Web of Science ®Google Scholar
• Bossoufi, B., Karim, M., Lagrioui, A., Taoussi, M., & Derouich, A. (2015). Observer backstepping control of dfig-generators for wind turbines variable-speed: Fpga-based implementation. Renewable Energy, 81, 903–917. https://doi.org/10.1016/j.renene.2015.04.013
   Web of Science ®Google Scholar
• Davila, J. (2013). Exact tracking using backstepping control design and high-order sliding modes. IEEE Transactions on Automatic Control, 58(8), 2077–2081. https://doi.org/10.1109/TAC.2013.2246894
   Web of Science ®Google Scholar
• Djennoune, S., & Bettayeb, M. (2013). Optimal synergetic control for fractional-order systems. Automatica, 49(7), 2243–2249. https://doi.org/10.1016/j.automatica.2013.04.007
   Web of Science ®Google Scholar
• Fallaha, C., Saad, M., Ghommam, J., & Kali, Y. (2021). Sliding mode control with model-based switching functions applied on a 7-dof exoskeleton arm. IEEE/ASME Transactions on Mechatronics, 26(1), 539–550.
   Web of Science ®Google Scholar
• Fang, Y., Fei, J., & Yang, Y. (2018). Adaptive backstepping design of a microgyroscope. Micromachines, 9(7), 338. https://doi.org/10.3390/mi9070338
   PubMed Web of Science ®Google Scholar
• Fast fourier transform (n.d.). Introduced before R2006a. https://www.mathworks.com/help/matlab/ref/fft.html.
   Google Scholar
• Guo, B. Z., & Zhao, Z. L. (2015). Active disturbance rejection control: Theoretical perspectives. Communications in Information and Systems, 15(3), 361–421. https://doi.org/10.4310/CIS.2015.v15.n3.a3
   Web of Science ®Google Scholar
• Guo, B. Z., & Zhao, Z. L. (2016). Active disturbance rejection control for nonlinear systems: An introduction. John Wiley & Sons.
   Google Scholar
• Hatipoğlu, C., & Özgüner, Ü. (1999). Handling stiction with variable structure control. In Variable structure systems, sliding mode and nonlinear control (pp. 143–166). Springer.
   Google Scholar
• Herbst, G. (2013). A simulative study on active disturbance rejection control (adrc) as a control tool for practitioners. Electronics, 2(4), 246–279. https://doi.org/10.3390/electronics2030246
   Google Scholar
• Hung, J. Y., Gao, W., & Hung, J. C. (1993). Variable structure control: A survey. IEEE Transactions on Industrial Electronics, 40(1), 2–22. https://doi.org/10.1109/41.184817
   Web of Science ®Google Scholar
• Kali, Y., Saad, M., & Benjelloun, K. (2017). Non-singular terminal second order sliding mode with time delay estimation for uncertain robot manipulators. In ICINCO (2) (pp. 226–232). SCITEPRESS – Science and Technology Publications.
   Google Scholar
• Kali, Y., Saad, M., & Benjelloun, K. (2019). Control of robot manipulators using modified backstepping sliding mode. In New developments and advances in robot control (pp. 107–136). Springer.
   Google Scholar
• Kim, P., Park, J., & Cho, Y. (2019). As-is geometric data collection and 3d visualization through the collaboration between UAV and UGV. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (Vol. 36, pp. 544–551). IAARC Publications.
   Google Scholar
• Kolesnikov, A., & Kuzmenko, A. (2020). Use of adar method and theory of optimal control for engineering systems optimal control. In 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (pp. 1–5). IEEE.
   Google Scholar
• Krstic, M., Fontaine, D., Kokotovic, P.V., & Paduano, J.D. (1998). Useful nonlinearities and global stabilization of bifurcations in a model of jet engine surge and stall. IEEE Transactions on Automatic Control, 43(12), 1739–1745. https://doi.org/10.1109/9.736075
   Web of Science ®Google Scholar
• Lim, T. M., & Zhang, D. (2008). Control of lorentz force-type self-bearing motors with hybrid pid and robust model reference adaptive control scheme. Mechatronics, 18(1), 35–45. https://doi.org/10.1016/j.mechatronics.2007.07.007
   Web of Science ®Google Scholar
• Lu, S., Tian, C., & Yan, P. (2019). Adaptive extended state observer-based synergetic control for a long-stroke compliant microstage with stress stiffening. IEEE/ASME Transactions on Mechatronics, 25(1), 259–270. https://doi.org/10.1109/TMECH.3516
   Web of Science ®Google Scholar
• Luukkonen, T. (2011). Modelling and control of quadcopter, independent research project in applied mathematics. Espoo, 22, 22.
   Google Scholar
• Mahmood, A., & Kim, Y. (2015). Leader-following formation control of quadcopters with heading synchronization. Aerospace Science and Technology, 47, 68–74. https://doi.org/10.1016/j.ast.2015.09.009
   Web of Science ®Google Scholar
• Moreno, J. A., & Osorio, M. (2008). A lyapunov approach to second-order sliding mode controllers and observers. In 2008 47th IEEE Conference on Decision and Control (pp. 2856–2861). IEEE.
   Google Scholar
• Najm, A. A., & Ibraheem, I. K. (2020). Altitude and attitude stabilization of uav quadrotor system using improved active disturbance rejection control. Arabian Journal for Science and Engineering, 45(3), 1985–1999. https://doi.org/10.1007/s13369-020-04355-3
   Web of Science ®Google Scholar
• Navabi, M., & Mirzaei, H. (2016). θ-d based nonlinear tracking control of quadcopter. In 2016 4th International Conference on Robotics and Mechatronics (ICROM) (pp. 331–336). IEEE.
   Google Scholar
• Nguyen, A. T., Xuan-Mung, N., & Hong, S. K. (2019). Quadcopter adaptive trajectory tracking control: A new approach via backstepping technique. Applied Sciences, 9(18), 3873. https://doi.org/10.3390/app9183873
   Google Scholar
• Ni, J., Liu, C., Liu, K., & Pang, X. (2014). Variable speed synergetic control for chaotic oscillation in power system. Nonlinear Dynamics, 78(1), 681–690. https://doi.org/10.1007/s11071-014-1468-0
   Web of Science ®Google Scholar
• Przybyła, M., Kordasz, M., Madoński, R., Herman, P., & Sauer, P. (2012). Active disturbance rejection control of a 2dof manipulator with significant modeling uncertainty. Bulletin of the Polish Academy of Sciences Technical Sciences, 60(3), 509–520. https://doi.org/10.2478/v10175-012-0064-z
   Web of Science ®Google Scholar
• Rangel, R. K., Freitas, J. L., & Rodrigues, V. A. (2019). Development of a multipurpose hydro environmental tool using swarms, UAV and USV. In 2019 IEEE Aerospace Conference (pp. 1–15). IEEE.
   Google Scholar
• Raptis, I. A., & Valavanis, K. P. (2010). Linear and nonlinear control of small-scale unmanned helicopters (Springer Science & Business Media.
   Google Scholar
• Shao, X., Pustina, P., Stölzle, M., Sun, G., De Luca, A., Wu, L., & Santina, C. D. (2024, July). Model-based control for soft robots with system uncertainties and input saturation. IEEE Transactions on Industrial Electronics, 71(7), 7435–7444.
   Google Scholar
• Shao, X., Sun, G., Yao, W., Liu, J., & Wu, L. (2021). Adaptive sliding mode control for quadrotor uavs with input saturation. IEEE/ASME Transactions on Mechatronics, 27(3), 1498–1509. https://doi.org/10.1109/TMECH.2021.3094575
   Web of Science ®Google Scholar
• Ullah, S., Mehmood, A., Khan, Q., Rehman, S., & Iqbal, J. (2020). Robust integral sliding mode control design for stability enhancement of under-actuated quadcopter. International Journal of Control, Automation and Systems, 18, 1671–1678. https://doi.org/10.1007/s12555-019-0302-3
   Web of Science ®Google Scholar
• Utkin, V. I., & Vadim, I. (2004). Sliding mode control. Variable structure systems, from principles to implementation (Vol. 66). The Institution of Engineering and Technology.
   Google Scholar
• Veselov, G., Sklyarov, A., Sklyarov, S., & Semenov, V. (2016). Synergetic approach to the quadrotor helicopter control in an environment with external disturbances. In 2016 International Siberian Conference on Control and Communications (SIBCON) (pp. 1–6). IEEE.
   Google Scholar
• Xiong, J. J., & Zhang, G. B. (2017). Global fast dynamic terminal sliding mode control for a quadrotor uav. ISA Transactions, 66, 233–240. https://doi.org/10.1016/j.isatra.2016.09.019
   PubMed Web of Science ®Google Scholar
• Xu, B., Wang, W., Falzon, G., Kwan, P., Guo, L., Chen, G., Tait, A., & Schneider, D. (2020). Automated cattle counting using mask r-cnn in quadcopter vision system. Computers and Electronics in Agriculture, 171, 105300. https://doi.org/10.1016/j.compag.2020.105300
   Web of Science ®Google Scholar
• Xue, W., Bai, W., Yang, S., Song, K., Huang, Y., & Xie, H. (2015). Adrc with adaptive extended state observer and its application to air–fuel ratio control in gasoline engines. IEEE Transactions on Industrial Electronics, 62(9), 5847–5857. https://doi.org/10.1109/TIE.2015.2435004
   Web of Science ®Google Scholar
• Yackinous, W. S. (2015). Understanding complex ecosystem dynamics: A systems and engineering perspective. Academic Press.
   Google Scholar
• Yoo, D., Yau, S. S. T, & Gao, Z. (2006). On convergence of the linear extended state observer. In 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control (pp. 1645–1650). IEEE.
   Google Scholar
• Zhao, J., Xie, Z., Xiao, M., Xu, F., & Gao, Z. (2023). A sliding mode control algorithm based on improved super-twisting and its application to quadrotors. Journal of Control and Decision, 10(3), 433–442. https://doi.org/10.1080/23307706.2022.2094841
   Google Scholar
• Zheng, Q., Gaol, L. Q., & Gao, Z. (2007). On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics. In 2007 46th IEEE Conference on Decision and Control (pp. 3501–3506). IEEE.
   Google Scholar