Autonomous Aerospace Systems

The course aims to provide the knowledge needed to design and develop efficient driving and navigation solutions for autonomous vehicles. Driving can be strategic or tactical while navigation is the function that provides information about the position, speed and orientation of the vehicle. It is made by integrating measurement from different sources, such as sensors and receivers.

• System Representation of Unmanned Aircraft System (UAS). UAS System Architecture. Simulation Models
• Introduce the concept of Unmanned Air Vehicle UAV and Unmanned Aircraft System UAS
• Principles of guidance models, path management, and path following
• Introduce the concept of principles of guidance and patch management for autonomous aircraft
• Integrated Navigation in Autonomous Aircraft Systems. GPS/INS. Dead Reckoning
• Introduce the integrated navigation systems for autonomous aerospace systems
• Obstacle detection and tracking for UAS: fundamentals of target tracking systems, detection and tracking for sense and avoid systems
• An important function for unmanned and autonomous aircraft: obstacle detection and tracking
• Design Models and Open-loop dynamics. Autopilot Design. Lateral-directional autopilot. Longitudinal Autopilot Design. Altitude-control State Machine
• How does an autopilot work