Applied-Control-Systems-2-UAV-drone-3D-Dynamics-control-

What you’ll learn

mathematical modelling of a UAV quadcopter drone
obtaining kinematic equations: Rotation & Transfer matrices
obtaining Newton-Euler 6 DOF dynamic equations of motion with rotating frames
going from equations of motion to a UAV specific state-space equations
understanding the gyroscopic effect & applying it to the UAV model
understanding the Runge-Kutta integrator and applying it to the UAV model
mastering & applying Model Predictive Control algorithm to the UAV
mastering & applying a feedback linearization controller to the UAV
combining Model Predictive Control and feedback linearization in one global controller
simulating the drone's trajectory tracking in Python using the MPC and feedback linearization controller