Matlab sımulatıon of quadcopter dynamıcs and PID attıtude controller
Article Sidebar
Main Article Content
Abstract
Due to the ever-growing popularity of quadcopters, they are used in various fields such as surveillance, military, surveillance and courier services and are of great importance. Ideal handling of quadcopters is essential for safe maneuvering and high precision flight performance. This research provides simulation of quadcopter control in MATLAB software, development and review of various control principles.
Dynamic development in unmanned aerial vehicles (UAVs) has led to the rapid spread of quadcopters in many fields, from airspace control to courier services. This research study investigates the Proportional-Integral-Derivative (PID) attitude controller by simulating the quadcopter dynamic object in MATLAB software. The heart of this research is to create and develop a PID attitude controller, which is a critical component for accurate control of quadcopter.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Mellinger, D., & Kumar, V. (2011). Minimum Snap Trajectory Generation and Control for Quadrotors. In Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 2520-2525.
Lee, T. T., & Leok, M. (2010). Geometric Tracking Control of a Quadrotor UAV on SE(3). In Proceedings of the 2010 American Control Conference (ACC), pp. 3377-3382.
Beard, R. W., & McLain, T. W. (2012). Small Unmanned Aircraft: Theory and Practice. Princeton University Press.
Bouabdallah, S. (2007). Design and Control of Quadrotors with Application to Autonomous Flying. ETH Zurich Doctoral Thesis.
Balas, G. J., & Packard, A. (2005). A Simple Model of Unmanned Aerial Vehicle Dynamics and Its Use in Control System Design. In Proceedings of the 2005 American Control Conference (ACC), pp. 2927-2932.
Ogata, K. (2010). Modern Control Engineering. Pearson.
Khalil, H. K. (2002). Nonlinear Systems. Prentice Hall.
Siciliano, B., Sciavicco, L., Villani, L., & Oriolo, G. (2010). Robotics: Modelling, Planning and Control. Springer.
Fossen, T. I. (2011). Handbook of Marine Craft Hydrodynamics and Motion Control. John Wiley & Sons.
MATLAB documentation and tutorials for control systems, simulations, and mathematical modeling.