Introduction to Quadrotors and Control Theory

Introduction to Quadrotors and Control Theory

This course takes you through the basic elements of building a physically based quadrotor drone simulation, and introduces elements of control theory, such as  the feedback loop and PID controllers.  You will learn about representing rotation in 3D space using rotation matrices, quaternions and Euler angles. You will learn to implement a discrete-time PID controller, and an entire PID-based controller structure for attitude and position control for non-aggresive flight. You will be provided with a reference implementation in Python to experiment with.

Learn to build your own dynamical simulation of a quadrotor drone and to control it using PIDs

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What you will learn

• to model the dynamics of a quadrotor drone
• to build flight stabilization algorithms based on PID controllers

Rating: 4.45

Level: Beginner Level

Duration: 1.5 hours

Instructor: Luminita-Cristiana Totu