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Introduction to Feedback Control Theory - Massachusetts Institute of Technology



Informazioni importanti

  • Corso
  • Online
  • Durata:
    3 Weeks
  • Quando:

Learn the theory and practice of controller design and build an electronic propeller-levitated 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.

Informazioni importanti

Requisiti: Secondary school (high school) algebra Pre-calculus (or at least familiarity with rates, area under curves, functions) and associated mathematical concepts


Dove e quando

Inizio Luogo

Cosa impari in questo corso?

Feedback Control Theory


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Have you wondered about the design strategies behind temperature controllers, quad-copters, or self-balancing scooters? Are you interested in robotics, and have heard of, or tried, “line-following" 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 on-line exercises to test your understanding, and will finish with you designing, implementing, measuring, and exchanging video of your own propellor-levitated 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 Arduino-controlled propeller-levitated 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

Ulteriori informazioni

Teacher:Jacob White Jacob is the Cecil H. Green Professor of Electrical Engineering and Computer Science at MIT. He received his B.S. in EECS from MIT in 1980, and his M.S. and Ph.D. in EECS from UC Berkeley in 1983 and 1985 respectively.    Teacher:Joe Steinmeyer Joe is a lecturer in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He received his B.S. in EECS from the University of Michigan, Ann Arbor in 2008 and his M.S. and Ph.D. in EECS from MIT in 2010 and 2014, respectively.