Control Engineering

3,000.00

Prof. Ramkrishna Pasumarthy

IIT Madras

*Additional GST and optional Exam fee are applicable.

SKU: IIT Madras Category:

Description

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. The 11th module of the course will cover a detailed application of filter design in the field of navigation and human movement (gait). Students will be able to design their very own basic navigational system using inertial sensors and microcontrollers.

 

INTENDED AUDIENCE

Undergraduate students taking course on Control Engineering.

PRE-REQUISITES

Network and Circuits, Basic Engineering Mathematics. For those who would like to refer to some material prior to this course, we suggest the NPTEL course on Networks and Systems by Dr.V.G.K.Murti. Here is the link to playlist on Youtube. Content in Lectures 1 -6 and 20-29 will be most relevant for this course.

ABOUT THE INSTRUCTOR

Prof. Ramkrishna Pasumarthy is currently an Associate 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.

Additional information

Institute

IIT Madras

Total hours

30

Certification Process

1. Join the course
Learners may pay the applicable fees and enrol to a course on offer in the portal and get access to all of its contents including assignments. Validity of enrolment, which includes access to the videos and other learning material and attempting the assignments, will be mentioned on the course. Learner has to complete the assignments and get the minimum required marks to be eligible for the certification exam within this period.

COURSE ENROLMENT FEE: The Fee for Enrolment is Rs. 3000 + GST

2. Watch Videos+Submit Assignments
After enrolling, learners can watch lectures and learn and follow it up with attempting/answering the assignments given.

3. Get qualified to register for exams
A learner can earn a certificate in the self paced course only by appearing for the online remote proctored exam and to register for this, the learner should get minimum required marks in the assignments as given below:

CRITERIA TO GET A CERTIFICATE
Assignment score = Score more than 50% in at least 9/12 assignments.
Exam score = 50% of the proctored certification exam score out of 100
Only the e-certificate will be made available. Hard copies will not be dispatched.”

4. Register for exams
The certification exam is conducted online with remote proctoring. Once a learner has become eligible to register for the certification exam, they can choose a slot convenient to them from what is available and pay the exam fee. Schedule of available slot dates/timings for these remote-proctored online examinations will be published and made available to the learners.

EXAM FEE: The remote proctoring exam is optional for a fee of Rs.1500 + GST. An additional fee of Rs.1500 will apply for a non-standard time slot.

5. Results and Certification
After the exam, based on the certification criteria of the course, results will be declared and learners will be notified of the same. A link to download the e-certificate will be shared with learners who pass the certification exam.

CERTIFICATE TEMPLATE

Course Details

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: State space analysis
Week 12: Design using State space

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