Applied Control Systems for Engineers 2 – UAV drone control 2021

Applied Control Systems for Engineers 2 – UAV drone control 2021 Free Download. Modelling + state-space systems + Model Predictive Control + feedback control + Python simulation: UAV quadcopter drone

Applied Control Systems for Engineers 2 – UAV drone control 2021 Description

Requirements

  • Basic Calculus: Functions, Derivatives, Integrals
  • Vector-Matrix multiplication
  • Udemy course: Applied Control Systems for Engineers 1 – autonomous vehicle

Udemy – AWS Certified Cloud Practitioner 2021

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

Who this course is for:

  • Science and Engineering students
  • Working Scientists and Engineers
  • Control Engineering enthusiasts

Applied Control Systems for Engineers 2 – UAV drone control 2021 Free Download

Google Drive

HOW TO DOWNLOAD COURSE

Content From: https://www.udemy.com/course/applied-control-systems-for-engineers-2-uav-drone-control/

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