Machine learning-based design of a linear self-resistant attitude control system for UAV string level

[1] Izaguirre-Espinosa, C., Mu?oz-Vázquez, A.J., Sánchez-Orta, A., Parra-Vega, V., & Sanahuja, G. (2016). Fractional attitude-reactive control for robust quadrotor position stabilization without resolving underactuation. Control Engineering Practice, 53(Aug.), 47-56. Search in Google Scholar

[2] Wang, Z., Zhao, J., Cai, Z., Wang, Y., & Liu, N. (2021). Onboard actuator model-based incremental nonlinear dynamic inversion for quadrotor attitude control: method and application. Chinese Journal of Aeronautics(1). Search in Google Scholar

[3] Nian, X. X. Z. (2020). Robust adaptive fault estimation and fault tolerant control for quadrotor attitude systems. International Journal of Control, 93(1a3). Search in Google Scholar

[4] Shen, S., & Xu, J. (2020). Attitude active disturbance rejection control of the quadrotor and its parameter tuning. International Journal of Aerospace Engineering. Search in Google Scholar

[5] Jiang, S., Liu, C., & Gao, Y. (2021). Mimo adaptive high-order sliding mode control for quadrotor attitude tracking. Journal of Aerospace Engineering, 34(4), 04021022. Search in Google Scholar

[6] Sugawara, Y., & Shimada, A. (2017). Attitude control of quadrotor in consideration of the effects of a pole based on limited pole placement. Electrical Engineering in Japan, 198(1). Search in Google Scholar

[7] Giernacki, W., Espinozafraire, T., & Rao, J. (2021). Mathematical modeling of the coaxial quadrotor dynamics for its attitude and altitude control. Energies, 14(5). Search in Google Scholar

[8] Gajbhiye, S., Cabecinhas, D., Silvestre, C., & Cunha, R. (2022). Geometric finite-time inner-outer loop trajectory tracking control strategy for quadrotor slung-load transportation. Nonlinear dynamics(3), 107. Search in Google Scholar

[9] Wenqiang, Zhang, C., Dong, M., Ran, Y., & LIU. (2020). Fully distributed time-varying formation tracking control for multiple quadrotor vehicles via finite-time convergent extended state observer. Chinese Journal of Aeronautics, v.33;No.176(11), 87-100. Search in Google Scholar

[10] Yang, S., Xi, L., Hao, J., & Wang, W. (2021). Aerodynamic-parameter identification and attitude control of quad-rotor model with cifer and adaptive ladrc. Chinese Journal of Mechanical Engineering, 34(1). Search in Google Scholar

[11] Rao, J., Li, B., Zhang, Z., Chen, D., & Giernacki, W. (2022). Position control of quadrotor uav based on cascade fuzzy neural network. Energies, 15. Search in Google Scholar

[12] Mosalsal, M., & Khodabandeh, M. (2023). Variable pitch control of a quadrotor using adaptive sliding mode controller. Aircraft Engineering and Aerospace Technology, 95(2), 246-264. Search in Google Scholar

[13] Chen, L., Liu, Z., Gao, H., & Wang, G. (2021). Robust adaptive recursive sliding mode attitude control for a quadrotor with unknown disturbances. ISA Transactions(7). Search in Google Scholar

[14] Zha, C., Ding, X., Yu, Y., & Wang, X. (2017). Quaternion-based nonlinear trajectory tracking control of a quadrotor unmanned aerial vehicle. Chinese Journal of Mechanical Engineering. Search in Google Scholar

[15] Wang, X., Sun, S., van Kampen, E. J., & Chu, Q. (2019). Quadrotor fault tolerant incremental sliding mode control driven by sliding mode disturbance observers. Aerospace Science and Technology, 87, 417-430. Search in Google Scholar

[16] Yang, H., Cheng, L., Xia, Y., & Yuan, Y. (2017). Active disturbance rejection attitude control for a dual closed-loop quadrotor under gust wind. IEEE Transactions on control systems technology, 26(4), 1400-1405. Search in Google Scholar

[17] Abdul-Adheem, W. R., & Ibraheem, I. K. (2016). Improved sliding mode nonlinear extended state observer based active disturbance rejection control for uncertain systems with unknown total disturbance. International Journal of Advanced Computer Science and Applications, 7(12). Search in Google Scholar

[18] Najm, A. A., & Ibraheem, I. K. (2019). Nonlinear PID controller design for a 6-DOF UAV quadrotor system. Engineering Science and Technology, an International Journal, 22(4), 1087-1097. Search in Google Scholar

[19] Miranda-Colorado, R., & Aguilar, L. T. (2020). Robust PID control of quadrotors with power reduction analysis. ISA transactions, 98, 47-62. Search in Google Scholar

[20] Mohd Basri, M. A., Husain, A. R., & Danapalasingam, K. A. (2015). Enhanced backstepping controller design with application to autonomous quadrotor unmanned aerial vehicle. Journal of Intelligent & Robotic Systems, 79, 295-321. Search in Google Scholar

[21] Labbadi, M., Boukal, Y., Cherkaoui, M., & Djemai, M. (2021). Fractional-order global sliding mode controller for an uncertain quadrotor UAVs subjected to external disturbances. Journal of the Franklin Institute, 358(9), 4822-4847. Search in Google Scholar

[22] Chang, K., Xia, Y., Huang, K., & Ma, D. (2016). Obstacle avoidance and active disturbance rejection control for a quadrotor. Neurocomputing, 190, 60-69. Search in Google Scholar

[23] Chen, Y. M., He, Y. L., & Zhou, M. F. (2015). Decentralized PID neural network control for a quadrotor helicopter subjected to wind disturbance. Journal of Central South University, 22(1), 168-179. Search in Google Scholar

[24] Bouadi, H., & Moracamino, F. (2017). Modeling and adaptive flight control for quadrotor trajectory tracking. Journal of Aircraft(1), 1-16. Search in Google Scholar

[25] Zhou, Z., Li, Y., Zhang, J., & Rizos, C. (2017). Integrated navigation system for a low-cost quadrotor aerial vehicle in the presence of rotor influences. Journal of surveying engineering, 143(1), 05016006.1-05016006.13. Search in Google Scholar

[26] Zhi, Y., Li, G., Song, Q., Yu, K., & Zhang, J. (2017). Flight control law of unmanned aerial vehicles based on robust servo linear quadratic regulator and kalman filtering:. International Journal of Advanced Robotic Systems, 14(1), 1-11. Search in Google Scholar