In this paper, a reference trajectory tracking control is designed for a typical quadrotor. For this purpose, two control loops is proposed as follow: the inner loop is based on state feedback control technique and optimal control which coefficients are obtained as a function of system states using the genetic algorithm. Then, optimal control coefficients functions are extracted using the optimally stored data and least square method. The mentioned control function is based on a linear relationship between system state space and control coefficients. In the outer control loop, the PID control is utilized. Since, in this approach, the control coefficients are obtained from the genetic algorithm, the properties of the fitness function are considered. The performance of the proposed controller is evaluated by a comparative study especially to the PID controller, which is widely used in the literature. The simulation results show the effective performance of this technique in controlling Euler angles, reduction in summation of tracking error and optimization in power consumption.
Nakamura, M., Takaya, K., Ohta, H., Shibayama, K., Kroumov, V., “Quadrotor Modeling and Simulation for Industrial Application”, 23rd International Conference on System Theory, Control, and Computing (ICSTCC), 2019.
Ali, Z, A., Li, X., “Controlling of Under-Actuated Quadrotor UAV Equipped With a Manipulator”, Access IEEE, vol. 9, pp. 3428-3440, 2021.
دهقان، سید محمدمهدی، پارسا،علی، آهنگرانی فراهانی، علیرضا، قزلباش، احسان "تخمین خطی مرتبه پایین از یک پهپاد چهارپره تجاری با استفاده از دادههای پروازی"، نشریه علمی-پژوهشی مهندس هوانوردی، سال بیستم، شماره اول، صفحات 25-35، بهار و تابستان 1397.
Saraf, P., Gupta, M., Parimi, A, M., “A Comparative Study between a Classical and Optimal Controller for a Quadrotor”, IEEE 17th India Council International Conference (INDICON), pp. 1-6, 2020.
Najm, A, A., Ibraheem ,I, K.,“Nonlinear PID Controller Design for a 6-DOF UAV Quadrotor System”, International Journal of Engineering Science and Technology, vol22, no. 4, pp. 1087-1097, August 2019.
Zhou, L, Zhang, B., “Quadrotor UAV Flight Control Using Backstepping Adaptive Controller”, 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE), pp. 163-166, 2020.
Qiao, J., Liu, Z., Zhang, Y., “Gain Scheduling PID Control of the Quad-Rotor Helicopter”,2017 International Conference on Unmanned Systems (ICUS),pp. 1594-1601, 2017.
Navabi, M., Mirzaei, H., “Robust Optimal Adaptive Trajectory Tracking Control of Quadrotor Helicopter”, Latin American Journal of Solids and Structures, vol. 14, no. 6, pp. 1043-1066, June 2017.
Koksal, N, An, H, Fidan, B., “Backstepping-Based Adaptive Control of a Quadrotor UAV with Guaranteed Tracking Performance”, Journal of ISA Transaction, V. 105, pp. 98-110, 2020.
Jiang, X, Su, C, Xu, Y, Liu, K, Shi, H, Li, P., “An Adaptive Backstepping Sliding Mode Method for Flight Attitude of a Quadrotor”, Journal of Central South University, Springer, vol. 25, pp. 616,631, 2018.
Samantaray, J., Chakrabarty, S., “A Fuzzy Sliding Mode Control Design for Quadcopter”, International Conference on Unmanned Aerial System In Geomatics, pp. 191-200, 2019.
Zhao, , Xian, B., Zhang, Y., Zhang,X., “Nonlinear Robust Adaptive Tracking Control of a Quadrotor UAV Via Immersion and Invariance Methodology”, IEEE Transactions on Industrial Electronics, vol. 62, no. 5, pp. 2891-2902, May 2015.
Castillo, P., Dzul, , Lozano, R., “Real-Time Stabilization and Tracking of a Four-Rotor Mini Rotorcraft”, IEEE Trans. Control Syst. Technol., vol. 12, no. 4, pp. 510–516, Jul. 2004.
Mung, N, X., Hong, S, K., “Robust Backstepping Trajectory Tracking Control of a Quadrotor with Input Saturation via Extended State Observer”, Applied Science, vol. 9, pp. 1-23, 2019.
Tan, K., Wang, J., Paw, Y. C., Ng, T. Y., “Tracking of a Moving Ground Target by a Quadrotor Using a Backstepping Approach Based on a Full State Cascaded Dynamics”, Appl. Soft Comput., vol. 47, pp. 47–62, Oct. 2016.
Nelson, R., Barber, D. B., Mclain, T. W., Beard, R. W., “Vector Field Path Following for Miniature Air Vehicles”, IEEE Trans. Robot., vol. 23, no. 3, pp. 519–529, Jun. 2007.
آهنگرانی فراهانی، علیرضا،"طراحی کنترلکننده مبتنیبر تکنیک خطیساز پسخورد برای سیستم کوادروتور"، اولین همایش ملی مکانیک محاسباتی و تجربی، تهران، ایران، 1397.
Sharma, M, Kar, I., “Adaptive Geometric Control of Quadrotors with Dynamic Offset Between Center of Gravity and Geometric Center”, Asian Journal of Control, pp. 1-13, 2020.
Ma, Z., Jiao, S. M., “Research on the Attitude Control of Quad-Rotor UAV Based on Active Disturbance Rejection Control”, 3rd International Conference on Control Science and Systems Engineering, pp. 45-49, 2017.
Li, N., Yu, S., Xi, Z.,”Nonlinear Control Design for a Quad Rotor Unmanned Aerial Vehicle”, Proceeding of the 35th Chinese Control Conference, Chengdu, China, pp. 469-474, 2016.
Saha, S., Wadoo, S., “Linear Optimal Control of a Parrot AR Drone 2.0”, 2017 IEEE MIT Undergraduate Research Technology Conference, 2017.
Nicol, D, E.,“A Robust Adaptive Neural Network Control for a Quadrotor Helicopter”, Thesis Degree of Master of Science, Calgary, Alberta, 2010.
Ahangarani Farahani,A. , Karimi,J. and Sadati,S. H. (2020). Trajectory Tracking Control of Quadrotor Using State Space Feedback by Optimal Gain Tuning. Journal of Aeronautical Engineering, 22(2), 146-156. doi: 10.22034/joae.2020.136232
MLA
Ahangarani Farahani,A. , , Karimi,J. , and Sadati,S. H. . "Trajectory Tracking Control of Quadrotor Using State Space Feedback by Optimal Gain Tuning", Journal of Aeronautical Engineering, 22, 2, 2020, 146-156. doi: 10.22034/joae.2020.136232
HARVARD
Ahangarani Farahani A., Karimi J., Sadati S. H. (2020). 'Trajectory Tracking Control of Quadrotor Using State Space Feedback by Optimal Gain Tuning', Journal of Aeronautical Engineering, 22(2), pp. 146-156. doi: 10.22034/joae.2020.136232
CHICAGO
A. Ahangarani Farahani, J. Karimi and S. H. Sadati, "Trajectory Tracking Control of Quadrotor Using State Space Feedback by Optimal Gain Tuning," Journal of Aeronautical Engineering, 22 2 (2020): 146-156, doi: 10.22034/joae.2020.136232
VANCOUVER
Ahangarani Farahani A., Karimi J., Sadati S. H. Trajectory Tracking Control of Quadrotor Using State Space Feedback by Optimal Gain Tuning. JoAE, 2020; 22(2): 146-156. doi: 10.22034/joae.2020.136232