Description
Applied Control Systems for Engineers 2 – UAV drone control is a training course in modeling, state space systems, predictive models, feedback control and Python. The emergence of drone autonomy will be one of the biggest changes we will face in the coming decades. Although drones are still widely used, their use will increase over time. Drones are used in delivery services, entertainment, medicine, military, rescue, quality monitoring in places that humans cannot easily access, and many other fields.
What you will learn in Applied Control Systems for Engineers 2 – UAV drone control:
- Mathematical modeling of a quadcopter remote control
- Kinematic equation acquisition: rotation and displacement matrices
- Learn the Newton-Euler 6 DOF dynamic equation for moving with a rotating frame
- Understand the effect of the gyroscope and its application in the UAV model
- Understanding the Runge-Kutta Creator and Applying it to the UAV Model
- Acquire skills and apply predictive control models in UAVs
- Learn skills and use linear feedback controller for UAV
- Combination of MPC and feedback linearization in one global controller
Course specifications
Publisher: Udemy
Instructors: Marc Misin
French language
Level of education: average
Number of courses: 221
Duration: 25 hours and 7 minutes
Course Topics Applied Control Systems for Engineers – UAV Drone Control 2021-3:
Prerequisite courses:
Basic calculation: functions, derivatives, integrals
Vector-matrix multiplication
Udemy Course: Applied Control Systems for Engineers 1 – Autonomous Vehicle
Pictures
sample movie
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english subtitle
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File password(s): ngaur.com
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8.5 GB