Description
Applied Control Systems 4: UAV: Quaternions + MPC + PID is a course on the mathematics and control strategies used in modern unmanned aerial vehicles published by Udemy Online Academy. This is an advanced course that focuses on the mathematics and control strategies used in modern unmanned aerial vehicles. The course introduces quaternion-based orientation representation to prevent gimbal lock and enable smooth 3D rotational control, then looks at the design and tuning of PID controllers for stable UAV behavior. The course also covers model predictive control (MPC), an advanced technique that optimizes UAV trajectories by predicting future system states.
Ideal for engineers, robotics enthusiasts, and control systems students, this course demystifies quaternions, a powerful mathematical tool that solves problems such as gimbal lock that defy traditional Euler angles. Through practical examples and simulations, learners will understand how to model drone dynamics, implement control algorithms, and integrate these methods into real-world flight systems. This provides a solid foundation for building sustainable, responsive, and intelligent aerial platforms. By the end of the course, students will be able to confidently model, simulate, and control drone state dynamics using quaternions and advanced control methods, making this course ideal for professionals and students working in robotics, aerospace, and autonomous systems development.
What you will learn in Applied Control Systems 4: UAV: Quaternions + MPC + PID:
- Learning the mathematical principles of quaternions in representing the position of an object in 3D space
- Learning the mathematical modeling, differentiation, and integration of quaternion-based systems
- Learning the limitations of the Euler angle due to gimbal lock and avoiding it using quaternions
- Using quaternion representations in MPC and PID algorithms in controlling the position of a drone for tracking paths
- Implementing quaternion-based MPC and PID controllers in Python in offline simulation
- Learning the conversion of Euler angles to quaternions and the challenges associated with it
- And…
Course specifications
Publisher: Udemy
Instructors: Mark Misin Engineering Ltd
Language: English
Level: Advanced
Number of Lessons: 76
Duration: 11 hours and 29 minutes
Course topics
Applied Control Systems 4: UAV: Quaternions + MPC + PID Prerequisites
Applied Control Systems 1: autonomous cars: Math + PID + MPC
Applied Control Systems 2: autonomous cars (360 tracking)
Applied Control Systems 3: UAV drone (3D Dynamics & control)
Basic skills in Python programming
Pictures
Applied Control Systems 4: UAV: Quaternions + MPC + PID introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
5.8 GB