Non-Linear Model-Based Predictive Control For Trajectory Tracking And Control Effort Minimization In A Smartphone-Based Quadrotor

[1] A. Banerjee and A. Roychoudhury, “Future of mobile software for smartphones and drones: Energy and performance,” pp. 1–12, 2017. Search in Google Scholar

[2] J. A. Frank, A. Brill, J. Bae, and V. Kapila, “Exploring the role of a smartphone as a motion sensing and control device in the wireless networked control of a motor test-bed,” in 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2015, pp. 328–335. Search in Google Scholar

[3] C. Bodenstein, M. Tremer, J. Overhoff, and R. P. Würtz, “A smartphone-controlled autonomous robot,” in 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, pp. 2314–2321. Search in Google Scholar

[4] L. Garcia, A. Astudillo, and E. Rosero, “Fast model predictive control on a smartphone-based flight controller,” in 2019 IEEE 4th Colombian Conference on Automatic Control (CCAC), 2019, pp. 1–6. Search in Google Scholar

[5] N. Kreciglowa, K. Karydis, and V. Kumar, “Energy efficiency of trajectory generation methods for stop-andgo aerial robot navigation,” in 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, pp. 656–662. Search in Google Scholar

[6] J. Svacha, K. Mohta, and V. Kumar, “Improving quadrotor trajectory tracking by compensating for aerodynamic effects,” in 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, pp. 860–866. Search in Google Scholar

[7] F. Yacef, N. Rizoug, L. Degaa, O. Bouhali, and M. Hamerlain, “Trajectory optimisation for a quadrotor helicopter considering energy consumption,” in 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), 2017, pp. 1030–1035. Search in Google Scholar

[8] Z. Wang, K. Akiyama, K. Nonaka, and K. Sekiguchi, “Experimental verifiication of the model predictive control with disturbance rejection for quadrotors,” in 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2015, pp. 778–783. Search in Google Scholar

[9] K. Shimada and T. Nishida, “Particle filter-model predictive control of quadcopters,” in Proceedings of the 2014 International Conference on Advanced Mechatronic Systems, 2014, pp. 421–424. Search in Google Scholar

[10] R. Singhal and P. B. Sujit, “3d trajectory tracking for a quadcopter using mpc on a 3d terrain,” in 2015 International Conference on Unmanned Aircraft Systems (ICUAS), 2015, pp. 1385–1390. Search in Google Scholar

[11] A. Bemporad and C. Rocchi, “Decentralized linear timevarying model predictive control of a formation of unmanned aerial vehicles,” in 2011 50th IEEE Conference on Decision and Control and European Control Conference, 2011, pp. 7488–7493. Search in Google Scholar

[12] M. E. Guerrero-Sanchez, H. Abaunza, P. Castillo, R. Lozano, and C. D. Garcýìa-Beltraìn, “Quadrotor energy-based control laws: A unit-quaternion approach,” Journal of Intelligent & Robotic Systems, no. 2, pp. 347–377, 2017. Search in Google Scholar

[13] J. CarinÞo, H. Abaunza, and P. Castillo, “Quadrotor quaternion control,” in 2015 International Conference on Unmanned Aircraft Systems (ICUAS), 2015, pp. 825–831. Search in Google Scholar

[14] W. Dong, G.- Y. Gu, X. Zhu, and H. Ding, “Modeling and control of a quadrotor uav with aerodynamic concepts,” International Journal of Aerospace and Mechanical Engineering, no. 5, pp. 901–906, 2013. Search in Google Scholar

[15] A. Chovancovaì, T. Fico, L. Chovanec, and P. Hubinsk, “Mathematical modelling and parameter identification of quadrotor (a survey),” Procedia Engineering, pp. 172–181, 2014. Search in Google Scholar

[16] T. T. Ribeiro, A. G. Conceiçao, I. Sa, and P. Corke, “Nonlinear model predictive formation control for quadcopters,” IFAC-PapersOnLine, no. 19, pp. 39–44, 2015. Search in Google Scholar

[17] M. Neunert, C. De Crousaz, F. Furrer, M. Kamel, F. Farshidian, R. Siegwart, and J. Buchli, “Fast nonlinear model predictive control for unified trajectory optimization and tracking,” in 2016 IEEE international conference on robotics and automation (ICRA). IEEE, 2016, pp. 1398–1404. Search in Google Scholar

[18] A. Astudillo, B. Bacca, and E. Rosero, “Optimal and robust controllers design for a smartphone-based quadrotor,” in 2017 IEEE 3rd Colombian Conference on Automatic Control (CCAC), 2017, pp. 1–6. Search in Google Scholar