Controls engineering

Start Date
24/07/2017

End Date
13/10/2017

No. of
Enrollments
551 students

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Created by

Ramkrishna P
IIT Madras
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Course Language
English
Course Type
Scheduled
Video transcripts
Course Category
Engineering
Learning Path
Undergraduate
Course Length
0 Hours
Weekly time commitments
0 Hours
Course Completion
Exam Date
To be announced
Credits
0

82

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Weekly Reading list

Overview

ABOUT THE COURSE

This course shall introduce the fundamentals of modeling and control of linear time invariant systems; primarily from the classical viewpoint of Laplace transforms and a brief emphasis on the state space formulation as well. The course will be useful for students from major streams of engineering to build foundations of time/frequency analysis of systems as well as the feedback control of such systems.
 
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INTENDED AUDIENCE: Undergraduate students taking course on Control Engineering

CORE / ELECTIVE : Core

UG/PG : UG

PRE-REQUISITES: Network and Circuits, Basic Engineering Mathematics

INDUSTRY SUPPORT:
 Any industry into Industrial Automation

 

COURSE LAYOUT

Week 1   : Mathematical Modelling of Systems
Week 2   : Laplace Transforms, transfer functions, block diagram representation.
Week 3   : Block diagram reduction, Time response characteristics.
Week 4   : Introduction to stability, Routh Hurwitz stability criterion.
Week 5   : Root locus plots, stability margins.
Week 6   : Frequency response analysis: Nyquist stability criterion,  Bode plots and stability margins in frequency domain.
Week 7   : Basics of control design, the proportional, derivative and integral actions.
Week 8   : Design using Root Locus
Week 9   : Design using Bode plots
Week 10 : Effects of zeros, minimum and non-minimum phase systems.
Week 11 : Filter Design in frequency domain, with industry applications.
Week 12 : Introduction to state space methods, Linearization of nonlinear systems.

SUGGESTED READING :
  • Farid Golnaraghi and Benjamin C Kuo, Automatic Control Systems, 9th Edition, John Wiley and Sons
  • Feedback Systems: An Introduction for Scientists and Engineers, by Karl Astrom and Richard M. Murray. (http://www.cds.caltech.edu/~murray/books/AM05/pdf/am08-complete_22Feb09.pdf)
  • For solving problems: Schaum’s outline of Theory and Problems of Feedback and Control Systems, Second Edition J DiStefano, A Stubberud, I Williams, McGraw Hill.
  • Additional material will be provided for lecture topics of week 10 and 11.

 

  • Material will also be provided to introduce basics of Matlab to students

To access the content, please enroll in the course.

Faculty

Ramkrishna P


Ramkrishna Pasumarthy is currently an Assistant Professor at Department of Electrical Engineering, IIT Madras. I obtained my PhD in systems and control from University of Twente, The Netherlands and held post doc positions at University of Melbourne and UCLA.My interests lie in the area of modeling and control of complex physical systems. I also have interests in the area of identification and control of (cloud) computing systems and data analytics for power, traffic and cloud networks. I am also a member of the Interdisciplinary Laboratory for Data Sciences at IIT Madras.

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