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.
Undergraduate students taking course on Control Engineering.
Network and Circuits, Basic Engineering Mathematics. we suggest the NPTEL course on Networks and Systems by Dr.V.G.K.Murti. Content in Lectures 1 -6 and 20-29 will be relevant for this course.
Any industry into Industrial Automation
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.
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COURSE ENROLMENT FEE: The Fee for Enrolment is Rs. 3000 + GST
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Assignment score = Score more than 50% in at least 9/12 assignments.
Exam score = 50% of the proctored certification exam score out of 100
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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.
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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
BOOKS AND REFERENCES:
Control Systems Engineering, Norman S. Nise, Wiley, 6th edition.
Modern Control Engineering, Katsuhiko Ogata, Pearson Education Inc.
Modern Control Systems, Richard C. Dorf, Robert H. Bishop, 12th Edition
Automatic Control Systems, Farid Golnaraghi and Benjamin C Kuo, 9th Edition, John Wiley and Sons
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