Autopilot Development Using Simulink
To design custom autopilots, Claudio Conti of Sapienza Flight Team at Sapienza University of Rome joins Connell D’Souza of MathWorks to talk about using Model-Based Design to develop a custom autopilot. The Sapienza Flight Team competes in AUVSI’s Student Unmanned Aerial Vehicle Competition (SUAS) where teams design autonomous fixed- or rotary-wing aircrafts to perform search and reconnaissance tasks. Create and Configure MATLAB S-Functions: http://bit.ly/2E5oZgY Learn more about Simulink: https://goo.gl/nqnbLe Code Generation Tutorials: http://bit.ly/2E7cCRQ Claudio will explain the architecture and control strategy in his custom autopilot before demonstrating how they used Simulink® to develop the autopilot model. His team created S-functions to interface with the different sensors on their aircraft, as well as to encode and decode MAVLink messages to communicate with the autopilot from the ground station before using the code generation capabilities in Simulink to deploy it to a custom-built avionics box consisting of an Arduino® Due and a Raspberry Pi™ connected over serial. To simulate this autopilot, Claudio and his team employed real-time hardware-in-the-loop simulation techniques using a dSPACE® real-time machine. They used Aerospace Blockset™ to model their airplane, the environment, and sensors in Simulink before deploying it to a dSPACE real-time machine using the Real-Time Interface. This simulation involves an aircraft, environment, and sensor models running on the dSPACE machine, the autopilot running on the avionics box, QGroundControl and FlightGear Flight Simulator to visualize the trajectory on a desktop computer, and MAVLink is used to communicate between the different nodes. Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.

Simulating Quadcopter Missions with Simulink and ROS

Pitch Autopilot and Tuning- Flight Control Fundamentals - Section 1.2 - Rev 2

Getting Started with Simulink for Controls

Simulate and Deploy UAV Applications with Hardware-in-the-Loop Workflows - MathWorks

Deutschland – Curaçao Highlights | Gruppe E, FIFA WM 2026 | sportstudio

Everything You Need to Know About Control Theory

Something is jamming GPS over Europe. Here's what we found

Can Agentic AI Develop Embedded Systems with Model-Based Design?

Estimating Aircraft Performance with MATLAB

Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

Interceptor Missile Guidance & Control: Full Flight Simulation Tutorial! (MATLAB / Simulink)

Why This Genius Race Car Was Banned

Die Zombie-Simulation, die niemand erklären kann

Can Nato survive without the US? | The Security Brief

Training Sand to Think: Artificial General Intelligence & Future of Physics

Autopilot Design with XFLR and Simulink (Part 1)

Germany vs. Curaçao Highlights FIFA World Cup 2026 | Sportschau

When a Test Pilot Barrel-Rolled a 4-Engine Jet Airliner. How Boeing Won the Jet Race

Modeling a Thrust Vectored Rocket In Simulink

