Introduction to Feedback Control Theory  Massachusetts Institute of Technology
edXGratis
Informazione importanti
 Corso
 Online
 Durata:
3 Weeks  Quando:
Da definire
Learn the theory and practice of controller design and build an electronic propellerlevitated arm in the Arduino platform.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.
Requisiti: Secondary school (high school) algebra Precalculus (or at least familiarity with rates, area under curves, functions) and associated mathematical concepts
SediInizio  Luogo 

Da definire 
Online

Cosa impari in questo corso?
Engineering  Feedback  Feedback Control Theory  Arduino  
Platform 
Programma
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Have you wondered about the design strategies behind temperature controllers, quadcopters, or selfbalancing scooters? Are you interested in robotics, and have heard of, or tried, “linefollowing" or “PID control” and want to understand more?
Feedback control is a remarkably pervasive engineering principle. Feedback control uses sensor data (e.g. brightness, temperature, or velocity) to adjust or correct actuation (e.g. steering angle, motor acceleration, or heater output), and you use it all the time, like when you steer a bicycle, catch a ball, or stand upright. But even though applications of feedback are very common, the subject is an uncommonly compelling example of mathematical theory guiding practical design. In this engineering course we will introduce you to the theory and practice of feedback control and provide a glimpse into this rich and beautiful subject.
Each week we will begin with a mathematical description of a fundamental feedback concept, combined with online exercises to test your understanding, and will finish with you designing, implementing, measuring, and exchanging video of your own propellorlevitated arm feedback system. You will not need a background in calculus or software engineering to succeed in this class but you should be comfortable with algebra, mechanical forces, and modifying mathematical formulas in short computer programs.
 How to set up a control system and understand and optimize its performance (the Arduinocontrolled propellerlevitated arm)
 Modeling Feedback Control systems Using Difference Equations
 What unstable systems are like, practically and mathematically
 How to measure control system performance
 How proportional, delta (aka derivative) and summation (aka integral) feedback reduce tracking errors and increase disturbance rejection