A Co-simulation Framework for Quadrotor Control System Design using ROS 2 and MATLAB/Simulink

TL;DR

This paper introduces a co-simulation framework integrating ROS 2 and MATLAB/Simulink for designing and verifying quadrotor UAV control systems, enabling efficient prototyping and validation.

Contribution

It presents a novel integrated co-simulation framework combining ROS 2 and MATLAB/Simulink tailored for quadrotor UAV control system development.

Findings

Effective simulation of quadrotor dynamics and control algorithms.

Demonstrated rapid prototyping and validation capabilities.

Hierarchical control architecture with LQR and PID controllers.

Abstract

Co-simulation is a critical approach for the design and analysis of complex cyber-physical systems. It will enhance development efficiency and reduce costs. This paper presents a co-simulation framework integrating ROS 2 and MATLAB/Simulink for quadrotor unmanned aerial vehicle (UAV) control system design and verification. First, a six-degree-of-freedom nonlinear dynamic model of the quadrotor is derived accurately that based on Newton-Euler equations. Second, within the proposed framework, a hierarchical control architecture was designed and implemented: LQR controller for attitude control to achieve optimal regulation performance, and PID controller for position control to ensure robustness and practical applicability. Third, elaborated the architecture of the framework, including the implementation details of the cross-platform data exchange mechanism. Simulation results demonstrate the effectiveness of the framework, highlighting its capability to provide an efficient and standardized solution for rapid prototyping and Software-in-the-Loop (SIL) validation of UAV control algorithms.