Drones are not inherently stable, necessitating the use of a flight controller. If the UAV is properly tuned, the drone will fly steadily; otherwise, it won't. Hence, we have used a PID (proportional, integral, differential) controller for a stable flight. A well-functioning PID controller should enable amazing climbs and long-range flights. But, when used singly, PID controllers can provide poor performance, resulting in a long settling time, overshoot, and oscillation. Here, we propose a new approach to maneuver UAVs using a PID control system and overcome the shortcomings of using PID controllers in UAVs. This disadvantage is resolved using the Machine Learning polynomial regression model. The gain factors in a PID control system, which is otherwise ideally constant, should be changed in order to reduce the minor instabilities for a smooth flight. Our method has been elaborated and illustrated with suitable diagrams in the following work. When simulated in Gazebo on a Robot Operating System (ROS), our technique is proven to be successful.
Shah, P., Bedmutha, P , Goje, S & Agrawal, J (2022). Cascaded PID Control System for UAV with Gain Factor Prediction Using ML. Afribary. Retrieved from https://afribary.com/works/cascaded-pid-control-system-for-uav-with-gain-factor-prediction-using-ml
Shah, Prajwal, et. al. "Cascaded PID Control System for UAV with Gain Factor Prediction Using ML" Afribary. Afribary, 09 Jan. 2022, https://afribary.com/works/cascaded-pid-control-system-for-uav-with-gain-factor-prediction-using-ml. Accessed 27 Dec. 2024.
Shah, Prajwal, Poorva Bedmutha , Shubhankar Goje and Jagruti Agrawal . "Cascaded PID Control System for UAV with Gain Factor Prediction Using ML". Afribary, Afribary, 09 Jan. 2022. Web. 27 Dec. 2024. < https://afribary.com/works/cascaded-pid-control-system-for-uav-with-gain-factor-prediction-using-ml >.
Shah, Prajwal, Poorva Bedmutha , Shubhankar Goje and Jagruti Agrawal . "Cascaded PID Control System for UAV with Gain Factor Prediction Using ML" Afribary (2022). Accessed December 27, 2024. https://afribary.com/works/cascaded-pid-control-system-for-uav-with-gain-factor-prediction-using-ml