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
Table of Contents
Applied Control Systems for Engineers 2 – UAV drone control 2021 Description
Requirements
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Basic Calculus: Functions, Derivatives, Integrals
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Vector-Matrix multiplication
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Udemy course: Applied Control Systems for Engineers 1 – autonomous vehicle
Udemy – AWS Certified Cloud Practitioner 2021
What you’ll learn
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mathematical modelling of a UAV quadcopter drone
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obtaining kinematic equations: Rotation & Transfer matrices
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obtaining Newton-Euler 6 DOF dynamic equations of motion with rotating frames
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going from equations of motion to a UAV specific state-space equations
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understanding the gyroscopic effect & applying it to the UAV model
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understanding the Runge-Kutta integrator and applying it to the UAV model
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mastering & applying Model Predictive Control algorithm to the UAV
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mastering & applying a feedback linearization controller to the UAV
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combining Model Predictive Control and feedback linearization in one global controller
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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
Content From: https://www.udemy.com/course/applied-control-systems-for-engineers-2-uav-drone-control/
