Drone Modeling, Simulation & Control using Matlab/Simulink

Master Quadrotor Dynamics, 12-State Modeling, and PID Control Systems in Simulink.

What you'll learn
- Understand the fundamentals of drone dynamics including the body frame, earth frame, and the relationship between thrust, torque, and motion.
- Develop the complete 12-state nonlinear mathematical model of a quadrotor drone from first principles using Newton-Euler equations.
- Simulate and analyze the drone's dynamics and the performance of the closed-loop control system within a professional software environment (MATLAB/Simulink)
- Design and implement PID control systems for both the attitude (roll, pitch, yaw) and altitude (vertical position) of the drone.

Requirements
- Fundamental understanding of Calculus, Linear Algebra.

Description
Master the essential engineering principles behind modern autonomous drones!This complete course onDrone Modeling, Simulation, and Controlis designed for engineers, students, and advanced hobbyists seeking deep, practical knowledge in robotics and UAV systems.

Move beyond theory and learn how todesign a functional flight controllerfrom the ground up. You will begin by establishing the mathematical foundation, learning to derive thefull 12-state nonlinear equations of motionfor a quadrotor using Newton-Euler formalism. This modeling step is critical for accurate control system development.

The course then focuses on creating a stable, high-performance flight system. You will master thedesign and tuning of industry-standard PID control systemsfor both the drone's attitude (roll, pitch, yaw) and altitude. Learn how these controllers are cascaded to ensure stable flight and precise navigation.

Crucially, all theoretical concepts are immediately translated into practice. You will useMATLAB/Simulinkto build a comprehensive, closed-loop simulation model, allowing you totest, analyze, and validateyour control designs against real-world disturbances.

Key skills you will gain:

Deriving the complete 12-state dynamics model.

Implementing and tuning PID controllers for all 6 degrees of freedom.

Simulating complex dynamics in a professional environment.

Developing the expertise required for advanced control techniques.

Enroll today to transform your understanding of drones into a professional-grade engineering skill!

Who this course is for:
- Engineering Students (Electrical, Mechanical, Aerospace, and Computer Engineering) looking for a comprehensive capstone project or deeper practical knowledge in dynamics and control.
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