四旋翼无人机建模与PID控制实战
掌握四旋翼动力学、12状态建模及PID控制系统，基于MATLAB/Simulink进行无人机仿真与闭环控制设计，适合工程学习者。
Published 11/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.11 GB | Duration: 2h 0m
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 on Drone Modeling, Simulation, and Control is designed for engineers, students, and advanced hobbyists seeking deep, practical knowledge in robotics and UAV systems.Move beyond theory and learn how to design a functional flight controller from the ground up. You will begin by establishing the mathematical foundation, learning to derive the full 12-state nonlinear equations of motion for 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 the design and tuning of industry-standard PID control systems for 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 use MATLAB/Simulink to build a comprehensive, closed-loop simulation model, allowing you to test, analyze, and validate your 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!
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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