Salvatore Matteo Mennea
Design and Implementation of Enhanced Model Reference Adaptive Controllers (EMRAC) for Quadcopters Trajectory Tracking via HIL on Pixhawk 6x.
Rel. Alessandro Rizzo. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
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Abstract
Design and Implementation of Enhanced Model Reference Adaptive Controllers (EMRAC) for Quadcopters Trajectory Tracking via HIL on Pixhawk 6x: The main objective of this Master's thesis is to develop a comprehensive platform for testing and deploying custom controllers for quadrotor drones for trajectory tracking and deploy and test different version of EMRAC controllers on an actual flight control board. The toolchain is capable of evaluating advanced control algorithms on real hardware using Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HIL) simulations. The thesis utilizes the PX4-Autopilot firmware, an open-source software designed for autonomous aerial vehicles. The implemented advanced control algorithm, EMRAC (Enhanced Model Reference Adaptive Controller), builds upon the MRAC (Model Reference Adaptive Controller) to enhance performance.
To benchmark EMRAC's effectiveness, PD and MRAC controllers were designed
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