Volume 11 Issue 3 ( September 2024)

This paper deals with the design of an Autopilot system controller for an Unmanned Aerial Vehicle (UAV) for controlling the speed and altitude, so that the self-flight capability is achieved. Artificial Intelligence (AI) controller is built using the desired control law, including stabilization of UAV in flight control about the longitudinal and lateral planes. AI-based controllers like fuzzy logic Proportional Derivative (PD), fuzzy logic Proportional Derivative Integral (PDI), Self-tuning (ST) fuzzy logic PID, Adaptive controller based on Sliding mode contact (ASMC) are proposed to obtain the best option for generating the flight speed and altitude control with two plane stabilization which implemented and demonstrated using standard simulation package. In this study, the FLC is proposed to identify the lumped uncertain components of the dynamic model, so as to reduce the tracking error with flexible load.

Keywords: UAV, Autopilot, Proportional, Integral, Derivative, fuzzy logic, self tuning fuzzy logic, Adaptive fuzzy logic