Intro to Aerospace Navigation, Control and Flight Simulation

🌟 Course Title: Intro to Aerospace Navigation, Control and Flight Simulation 🚀

Headline: 🚀 Are you fascinated by the world of aerospace? Ever wanted to dive into flight control algorithms and simulation? This course is your gateway!

Important Setup Note:

Before we embark on this journey together, please ensure that you have Python and FlightGear installed and configured correctly. The first 3 free videos and Assignment 0 are crucial for setting up your environment. This will include installing various Python packages and downloading FlightGear aircraft and scenery. It's highly recommended to get everything ready prior to starting the course.

• Assignment 0: A practical test to verify your setup. Download it from Vinayak-D repo: AerospaceGNCUdemyCourse. Refer to the course preview video or Lecture 3 (Configuring Python) for the link.

Highlights:

🚀 What You'll Learn:

• Basics of aircraft flight dynamics in six degrees of freedom (6-DOF) through practical examples.
• Understand and apply the User Datagram Protocol (UDP) to create your own flight simulations using Python with FlightGear.
• Complete 5 interactive assignments that will solidify your understanding of flight dynamics, control systems, and simulations.
• Gain extensive knowledge on the aircraft equations of motion, a fundamental concept in the aerospace industry.
• Learn how to build comprehensive 6-DOF simulations even with limited data.

Course Description:

The aerospace sector is experiencing a renaissance, with new technologies like supersonic and hypersonic flights, commercial reusable launch vehicles, and personal drones on the horizon. This course is designed for beginners to get an introduction to flight dynamics, control systems, and simulation.

• Flight Dynamics: We'll explore complex topics such as aircraft equations of motion, rotation math, and flight simulations through a practical lens.
• Case Studies & Control Theory: We'll examine flight control design using open source information from the F-16 aircraft and delve into linear control theory, state space representation, and transfer functions.
• Hands-On Learning: Assignments 0 and 1 will help you get started with FlightGear and Python interacting via UDP protocol and basic coordinate transforms for mapping locations.
• Control Theory & Machine Learning: We'll cover quadratic optimization, a key concept in control theory and across various industries like tech and finance, and implement it using Python.
• Model Predictive Control (MPC): Learn about MPC for linear systems and its application in flight control through hands-on assignments.
• Final Simulation: In Assignment 5, you'll bring together everything you've learned to visualize a full 6-DOF flight simulation in FlightGear!

By the end of this course, you will have a solid foundation in aerospace navigation, control systems, and flight simulations. You'll be equipped with the knowledge and skills to understand and contribute to cutting-edge developments in the aerospace industry. 🛫🚀

Join us on this exciting journey into the world of aerospace navigation, control, and flight simulation. Let's embark on this adventure together! 🎓💫