explanation
Applied Control Systems 2 for Engineers – UAV Drone Control is a course on modeling, state space systems, predictive models, feedback control, and Python. One of the biggest changes we will face in the coming decades will be the emergence of UAV autonomy. Drones are still widely used, but their utility will only increase over time. UAVs are used in a variety of fields, including delivery services, entertainment, medical, military, rescue, and quality monitoring in places not easily accessible to humans.
In Applied Control Systems 2 – UAV Drone Control for Engineers you will learn:
- Mathematical modeling of quadcopter remote control
- Obtain equations of motion: rotation and displacement matrices
- Learn the Newton-Euler 6 DOF dynamic equations for moving to a rotating frame.
- Understanding the effects of gyroscopes and their application in UAV models
- Understanding the originators of Runge-Kutta and applying it to UAV models
- Applying skill acquisition and predictive control models in UAVs
- Acquire skills for UAVs and use linear feedback controllers
- Combine MPC and feedback linearization in one global controller
Course specifications
Publisher: Udemy
teacher: mark superstition
Language:English
Education level: medium
Number of courses: 221
Duration: 25 hours 7 minutes
Course Topics Applied Control Systems for Engineers – UAV Drone Control 2021-3:
Prerequisite courses:
Basic Calculus: Functions, Derivatives, Integrals
Vector-Matrix Multiplication
Udemy Course: Applied Control Systems 1 for Engineers – Autonomous Vehicles
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