Using a proportional integral derivative (PID) system to control the quadrotor drone to ensure its reliability and robustness

This study implemented a proportional-integral-derivative (PID) system for controlling a quadrotor UAV to ensure reliability and robustness. The research aimed to stabilize quadrotor movements using a PID system, with simulations conducted in MATLAB/Simulink to verify its effectiveness. The method involved designing the desired path and adjusting the PID system in stages to minimize the error between the desired and actual states. The results showed that the PID controller-maintained stability and control across various conditions, including wind disturbances. However, this study also highlighted limitations, such as the PID controller's higher accuracy in linear systems compared to nonlinear ones and the challenges in correctly tuning control parameters. While the designed PID controller worked well with the quadrotor’s nonlinear dynamics, more advanced control methods may be needed for handling larger changes and nonlinearities. This research underscores the practical significance of UAV applications in critical areas requiring stability and precision, such as search and rescue operations, aerial surveillance, and delivery systems.