Description
🚀 Applied Control Systems for Autonomous Drones: Master UAV Dynamics, PID & MPC Control
Requirements
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Basic knowledge of Calculus – Functions, Derivatives, and Integrals
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Understanding of Vector and Matrix Multiplication
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Recommended prior course: Applied Control Systems 1: Autonomous Cars (Math + PID + MPC) on Udemy
Course Description
Step into the future of Autonomous Aerial Technology with this comprehensive course on UAV Quadcopter Control Systems. Drones are transforming industries — from delivery and medical services to military, entertainment, and rescue operations. Mastering how to model and control these drones will place you at the forefront of modern engineering innovation.
This course is your complete guide to designing, mastering, and applying drone control algorithms — from deriving mathematical models to implementing precise trajectory control in 3D environments.
What You’ll Learn
✅ Model UAV Dynamics Mathematically:
Derive equations of motion using 3D dynamics principles, including Newton-Euler 6-DOF equations, rotation matrices, and transformation matrices.
✅ Master Advanced Control Techniques:
Explore PID, Model Predictive Control (MPC), and Feedback Linearization — key techniques for stable, efficient, and intelligent UAV motion control.
✅ Simulate Real Drone Behavior in Python:
Gain hands-on experience by implementing control algorithms in a Python-based simulator, bridging theory and real-world application.
✅ Understand 3D Kinematics & Propeller Dynamics:
Develop a deep understanding of UAV motion, Runge–Kutta integration, and the physics behind quadcopter movement.
✅ Build Real-World Skills for Modern Engineering:
Learn how to translate complex drone dynamics into practical, programmable models used in autonomous systems and robotics.
Why Enroll in This Course
By the end of this course, you’ll not only understand UAV control systems but also be able to implement them using code. This combination of mathematical rigor, physics insight, and coding application will give you a competitive advantage in today’s fast-evolving engineering and robotics industries.
Whether you’re a student, researcher, or working engineer, this course will elevate your understanding of autonomous flight systems and prepare you to contribute to the future of drone technology.
Who This Course Is For
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Science and Engineering Students
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Working Scientists and Engineers
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Control System & Robotics Enthusiasts
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Anyone Interested in UAVs, Drones, and Autonomous Systems
Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.
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