Research on Robust Aircraft's Trajectory Tracking using Adaptive Controller

• Published in: 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) pp. 1376 - 1382
• Main Authors: Shreepad, Sarange, Deena, S., Raman, Ramakrishnan, Shastri, Dhiresh S, A S, Rajesh, Krishnakumar, S. K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.12.2022
• Subjects: Adaptive systems; Aircraft; Controller; Error Metrics; Military aircraft; Stability analysis; Technological innovation; Trajectory; Trajectory tracking; Transportation; Yaw
• DOI: 10.1109/ICACRS55517.2022.10029152

Military, naval, army, etc., rely heavily on aircraft as their primary mode of transportation. In comparison to other types of transportation, aircraft have more freedom of motion. Tracking an aircraft's trajectory in the sky, is an extremely non-linear process. Movement control is crucial to the success of trajectory tracking. The prevention of crashes, damage, and other mishaps relies heavily on the accurate direction and movement controls in the aviation sector. Both stability and control are crucial in aircraft. Yaw, roll, and pitch are the three angles that can be employed to stabilize and control the movement. In this study, an Adaptive Fuzzy PID Controller is developed to regulate all three parameters. The study begins with a model of the aircraft, then moves on to the design of a conventional PID controller and an Adaptive Fuzzy PID controller, and finally concludes with an evaluation of the two controllers through an examination of their output responses at varying degrees of set angle and error metrics like the Integral Squared Error (ISE) and the Integral Absolute Error (IAE). This comparison highlights the advantage of the Adaptive Fuzzy PID controller in trajectory tracking with minimal rising, settling, and overshoot. Among the three angle-tracking systems, Adaptive Fuzzy PID gives the lowest error values.