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• Author: sddd
• Date: 16-10-2020, 13:58
16-10-2020, 13:58

### Model, Simulate and Control a Drone in MATLAB & SIMULINK

Category: Tutorials / Graphic

h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, Stereo | 4h 29mn | 1.66 GB
Created by: Eliott Wertheimer
Simulate a DJI Mavic Pro in Matlab & SIMULINK and design your own PID controllers for altitude and attitude control.
What you'll learn
Understand the functioning and physics behind drones' battery systems.
Approximate the performance of any DC motor or propeller from empirical data mathematically.
Understand and harness the Physics of a Drone.
Convert physical motion (throttle, roll, pitch, yaw) to voltage signals.
Derive, understand and model the rotational dynamics of a drone (pitch, roll and yaw motion).
Derive, understand and model the linear dynamics of a drone (3D linear acceleration, velocity and position).
Implement mathematical functions in Matlab and Simulink.
Create and test an engineering model in Simulink.
Design, tune and implement automated PID algorithms (altitude control and rotational dynamics).
Use and understand common Simulink blocks.
Requirements
Basic understanding of physics (Force, Velocity, Acceleration, etc).
High School Diploma mathematics level (Differentiation, etc).
Udemy Course Control Systems: From Mathematical Modelling to PID Control (useful but not mandatory).
Description
One of the only comprehensive, detailed and approachable online courses taking you from the mathematical modelling of a quadcopter drone to MATLAB/SIMULINK implementation and PID control design.
Today, drones are everywhere, from ultra high tech military devices to toys for kids going through advanced flying cameras and much more. How do such "apparently" simple machines achieve such precise and impressive flights in varying unstable and unpredictable environmental conditions.
This course gives you the opportunity to learn and do the following:
- Understand and harness the Physics behind a Quadcopter Drone.
- Establish and approximate the Physics of DC motors and propellers from experimental data.
- Derive the mathematical equations behind the rotational and linear dynamics of a drone.
- Implement them in engineering model in MATLAB & SIMULINK using blocks, MATLAB functions, etc.
- Test and fit your model to relevant real life performance and inputs.
- Implement, test and tune PID controllers adapted to your requirements in order to control the output of your system, in this case the altitude, position and attitude of your drone.
I will thoroughly detail and walk you through each of these concepts and techniques and explain down to their fundamental principles, all concepts and subject-specific vocabulary. This course is the ideal beginner, intermediate or advanced learning platform for the mathematics behind engineering systems, the use of MATLAB and SIMULINK in engineering design and PID control. Whatever your background, whether you are a student, an engineer, a sci-fi addict, an amateur roboticist, a drone builder, a computer scientist or a business or sports person, you will master the physics behind an electric car and learn how to implement and control them in SIMULINK by designing powerful PID controllers that bridge the gap between humans and machines!
If you have questions at any point of your progress along the course, do not hesitate to contact me, it will be my pleasure to answer you within 24 hours!
If this sounds like it might interest you, for your personal growth, career or academic endeavours, I strongly encourage you to join! You won't regret it!
Who this course is for:
Anyone interested in being able to design control systems for any kind of machine or engineering system.
Anyone interested in harnessing the power of MATLAB & Simulink for engineering design.
Anyone interested in learning about robotics and PID control.
Anyone interested in learning how to model real life engineering systems.
Anyone interested in drones, their systems and dynamics of flight.