Development of Adaptive Control System for Aerial Vehicles

Abstract

This article represents and compares two control systems for a vertical takeoff and landing (VTOL) unmanned aerial vehicle (UAV): a sliding proportional–integral–derivative (PID) controller and an adaptive L1 controller. The goal is to design a high-performing and stable control system for a specific VTOL drone. The mathematical model of the unique VTOL drone is presented as a control object. The sliding PID and adaptive L1 controllers are then developed and simulated, and their performance is compared. Simulation results demonstrate that both control systems achieve stable and accurate flight of the VTOL drone, but the adaptive L1 controller outperforms the sliding PID controller in terms of robustness and adaptation to changing conditions. This research contributes to ongoing work on adaptive control systems for VTOL UAVs and highlights the potential benefits of using L1 adaptive control for this application.

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

“…Because of the sensitive hierarchies between the embedded electro-mechanical systems within UAVs, complexities arise from the integration of sensors [23], communication equipment [24], power systems, and others [25]. Firstly, UAVs can experience general system failures that are mainly linked to flight control programs [26]. Hence, maintenance challenges correspondingly emerge to ensure proper functioning.…”