SRM UNIVERSITY Faculty of Engineering and Technology DEPARTMENT OF EIE Course Code : EI0354 Course Title : Modern Control systems VI semester Year& Semester : Course Duration : Even Semester (Jan 2015 – May 2015 ) Location : Tech Park Faculty Details: Name of the staff Section Office P.JEKAN EIE A & B Tech park A.ASUNTHA EIE C & D Tech park Office Hours 8.30am -4.00 pm 8.30am -4.00 pm Mail ID jegan.p@ktr.srmuniv.ac.in asuntha.a@ktr.srmuniv.ac.in Required Text Books: Katsuhiko Ogata, Modern Control Engineering, second edition Prentice Hall of India Private Ltd, NewDelhi, 1995 2. Nagrath I J and M Gopal, Control Systems Engineering, I edition , Wiley and sons, 1985 1. Reference Books: 1 2 Benjamin C Kuo, Automatic Control System, 7th edition, Prentice Hall of India Private Ltd, New Delhi, 1993 Gopal .M, Modern Control Systems Theory, New Age International Pvt.Ltd, 1987 Web Resource: http://en.wikipedia.org/wiki/controlsystems http://en.wikibooks.org/wiki/ controller design http://en.wikipedia.org/wiki/Digital electronics Prerequisite : Basic knowledge of control systems. Objective: To design cascade compensators in time domain and frequency domain. To develop an understanding of sampling. To gain a working knowledge of z-transform theory. To understand and develop state space model for different systems. Tentative Test dates: Cycle Test I Surprise Test I Cycle Test II Model Examination : : : : 09/02/2015 21/01/2015 09/03/2015 15/04/2015 Test Portions: Cycle Test-I Cycle Test-II Model Examination : Unit I : Unit –II : All three units Assessment details: Cycle Test-I Cycle Test-II Surprise Test-I Attendance Modal Exam Total 10 marks 10 marks 05 marks 05 marks 20 marks 50 marks Outcomes: Students who have successfully completed this course. Course outcome Design of various control system Study knowledge in digital control system Study nonlinearity in the system and analysis. Program outcome a: the student will be able to understand the design of various control system b: the student will have a broad knowledge in digital control system c. ability to identify appropriate nonlinearity in the system and anylysis . Detailed Session Plan: Day DAY 1 Name of the topics UNIT 1 Introduction Reference Nagrath I J and M Gopal, Control Systems Engineering DAY 2 Effect of adding a pole and zero to a Nagrath I J and M Gopal, Control system Systems Engineering DAY 3 compensating networks types DAY 4 cascade and feedback network DAY 5 design of cascade lead in time domain DAY 6 problems DAY 7 design of cascade lead in time domain DAY 8 problems DAY 9 DAY 10 DAY 11 DAY 12 DAY 13 DAY 14 design of cascade lead in frequency domain design of cascade lag in frequency domain P, PI, PD and PID controllers Surprise test -1 P, PI, PD and PID controllers design UNIT 2 Sampled data control systems DAY 15 DAY 16 DAY 17 DAY 18 DAY 19 DAY 20 DAY 21 functional elements-sampling process Z-transforms- properties inverse z transforms ZOH and First order Hold process pulse transfer functions , step response. stability analysis-Jury's stability test. UNIT 3 Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Nagrath I J and M Gopal, Control Systems Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control Engineering Katsuhiko Ogata, Modern Control DAY 22 DAY 23 DAY 24 DAY 25 DAY 26 DAY 27, 28 DAY 29 DAY 30 DAY 31 DAY 32 DAY 33 DAY 34 DAY3 5 DAY 36 DAY 37 DAY 38 DAY39, 40,41 DAY 42 DAY 43 ,44 Day 45 Concepts of State, State variable and State space model state space representation of linear continuous time systems using physical variables phase variables and canonical variables-diagonalization State space representation of discrete time systems Solution of state equations computation of state transition matrix. UNIT 4 Concepts of Controllability and Observability linear time invariant systemspole placement by state feedback Ackerman's Formula Observers-full order Observers reduced order UNIT 5 Non-linear systems-properties common physical non-linearities dead zone, Relay nonlinearity saturation nonlinearities phase plane method singular points-phase trajectories stability analysis by Describing function methodLiapunov's stability criterion. 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