MR4104 Control System Design Syllabus:
MR4104 Control System Design Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES
1. To represent and simplify the mathematical models for various types of physical systems.
2. To recognize the time domain specifications and to analyze of various types of system and its characteristics in time domain.
3. To know the frequency domain specifications and to analyze of various types of system and its characteristics in frequency domain methods.
4. To design compensator and controller using time and frequency domain.
5. To evaluate, analyse and design a control system of servomotors for motion control.
UNIT I SYSTEM REPRESENTATION AND MODELLING
Introduction and need for Control Systems with examples – Feedback systems – Block Diagram – Definition of Process variable, Set-point, Manipulated variable and Final control element with examples -Open loop and Closed loop systems – Transfer Function Model – State Space Model – Mathematical Modelling of Mechanical, Electrical, Pneumatic and Hydraulic systems – Block Diagram reduction – Signal flow graph.
UNIT II DESIGN OF FEEDBACK CONTROL SYSTEM
Feedback systems – Block Diagram – Definition of process variable, set –point, manipulated variable and final control element with examples – characteristics of on –off,P, PI, PD and PID controllers – Implementation issues of PID controller – Modified PID controller – Tuning of controller.
UNIT III TIME AND FREQUENCY DOMAIN ANALYSIS
Time response of First & Second order systems – Time domain specifications – steady state errors and error constants – Routh Hurwitz criterion – Root locus – Bode Plot – Polar Plot – Nyquist stability criterion – Stability analysis – Experimental determination of Transfer Functions
UNIT IV CONTROL SYSTEM DESIGN
Root locus approach to control system design – lead, lag, lag-lead compensation using time domain analysis. Control system design using frequency domain analysis – lead, lag, lag-lead compensation using frequency domain analysis– P, PI, and PID controllers – tuning methods and rule.
UNIT V CONTROL AND ANALYSIS OF SERVO MOTOR
Servo motor – Mathematical Modelling of Servo Motor – Analysis of Servo motor system using Routh Hurwitz criterion, Root locus, Bode Plot, Polar Plot and stability analysis – Implementation of P, PI , PD and PID controllers for servo motor and analysis – bumpless control transfer between manual and PID Control- anti-windup control using PID Controller.
TOTAL : 45 PERIODS
COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1: Develop the mathematical model of physical systems.
CO2: Characterize the responses and evaluate the range of stability for the physical systems using time domain techniques.
CO3: Describe and assess the range of stability for the physical systems using frequency domain technique.
CO4: Design an appropriate control system and compensator for system dynamics.
CO5: Evaluate and demonstrate the motion control of motors.
REFERENCES
1. A. NagoorKani, “Control Systems”, RBA Publications (P) Ltd., 2020.
2. B.C. Kuo, “Automatic Control Systems”, Prentice Hall of India Pvt. Ltd., New Delhi, 2018.
3. I.J.Nagrath and Gopal, “Control System Engineering”, New Age international (P) Ltd., 2006.
4. K.Ogata, “Modern Controls Engineering“, Prentice Hall of India Pvt. Ltd., New Delhi, 2005.
5. M. Nakamura .S.Gata&N.Kyura, Mechatronic Servo System Control, Springer.
LABORATORY
LIST OF EXPERIMENTS
1. 1Mathematical Modelling and Simulation of a Physical Systems.
2. 2Simulation and Reduction of Cascade and Parallel, and Closed Loop Sub-System.
3. 3Plot the pole-zero configuration in s-plane for the given Transfer Function.
4. 4Simulation and Analysis of First and Second Order System Equations in Time and frequency Domain
5. 5Simulation and Analysis of Root-Locus and Bode Plot.
6. 6Simulation and Implementation of PID Controller Combinations for First and Second Order Systems.
7. 7Simulation of Motor velocity, position and torque control.
TOTAL: 30 PERIODS
LIST OF SOFTWARE FOR A BATCH OF 30 STUDENTS:
1. MATLAB/ SCILAB – Control System Tool Box – 15 No’s