Feedback Controller for Longitudinal Stability of Cessna182 Fixed-Wing UAVs

Abstract

Unmanned aerial vehicles (UAVs) are becoming increasingly popular for both civil and military applications. Unmanned aerial vehicles can be categorized into two categories: rotary-wing and fixed-wing. Due to its capacity to fly long distances and carry substantial payloads, fixed-wing UAVs are gaining popularity and are currently utilized for various tasks. However, when confronted with disturbances such as weather or wind gusts, fixedwing UAVs can rapidly lose stability, leading to a loss of lift and stalling. Consequently, it is vital to ensure the stability of fixed-wing UAVs. For the longitudinal stability management of a fixed wing unmanned aerial vehicle, the design and modeling of a feedback controller, including a PI controller, PID controller, and Fuzzy logic controller, are discussed in this article. MATLAB/SIMULINK©2021 will be used to design the control system and compare the response of each controller during the simulation. The controller's response to various input formats will indicate its capacity to regulate the system's behavior. Our results indicate that the fuzzy logic controller was superior to the PI and PID controllers at controlling the system's response according to the desired or input behavior.