Course Outcomes: After the completion of the course the student will be able to
CO 1 Analyse electromechanical systems by mathematical modelling and derive their transfer functions
CO 2 Determine Transient and Steady State behaviour of systems using standard test signals
CO 3 Determine absolute stability and relative stability of a system
CO 4 Apply frequency domain techniques to assess the system performance and to design a control system with suitable compensation techniques
CO 5 Analyse system Controllability and Observability using state space representation
SYLLABUS
Module 1:
Introduction: Basic Components of a Control System, Open-Loop Control Systems and Closed-Loop Control Systems, Examples of control system
Feedback and its effects: Types of Feedback Control Systems, Linear versus Nonlinear Control Systems, Time-Invariant versus Time-Varying Systems.
Mathematical modelling of control systems: Electrical Systems and Mechanical systems.
Transfer Function from Block Diagrams and Signal Flow Graphs: impulse response and its relation with transfer function of linear systems. Block diagram representation and reduction methods, Signal flow graph and Mason’s gain formula.
Module 2:
Time Domain Analysis of Control Systems: Introduction- Standard Test signals, Time response specifications.
Time response of first and second order systems to unit step input and ramp inputs, time domain specifications.
Steady state error and static error coefficients.
Frequency domain analysis: Frequency domain specifications, correlation between time and frequency responses.
Module 3:
Stability of linear control systems: Concept of BIBO stability, absolute stability, Routh Hurwitz Criterion, Effect of P, PI & PID controllers.
Root Locus Techniques: Introduction, properties and its construction, Application to system stability studies. Illustration of the effect of addition of a zero and a pole.
Module 4:
Nyquist stability criterion: Fundamentals and analysis Relative stability: gain margin and phase margin. Stability analysis with Bode plot.
Design of Compensators: Need of compensators, design of lag and lead compensators using Bode plots.
Module 5:
State Variable Analysis of Linear Dynamic Systems: State variables, state equations, state variable representation of electrical and mechanical systems, dynamic equations, merits for higher order differential equations and solution.
Transfer function from State Variable Representation, Solutions of the state equations, state transition matrix
Concept of controllability and observability and techniques to test them – Kalman’s Test.
Text Books
1. Farid Golnaraghi, Benjamin C. Kuo, Automatic Control Systems, 9/e, Wiley India.
2. I.J. Nagarath, M.Gopal: Control Systems Engineering (5th-Edition) ––New Age International Pub. Co., 2007.
3. Ogata K., Discrete-time Control Systems, 2/e, Pearson Education.
Reference Books
1. I.J. Nagarath, M.Gopal: Scilab Text Companion for Control Systems Engineering (3rd-Edition) ––New Age International Pub. Co., 2007.
2. Norman S. Nise, Control System Engineering, 5/e, Wiley India.
3. M. Gopal, Digital Control and State Variable Method, 4/e, McGraw Hill Education India, 2012.
4. Ogata K., Modern Control Engineering, Prentice Hall of India, 4/e, Pearson Education,2002.
5. Richard C Dorf and Robert H. Bishop, Modern Control Systems, 9/e, Pearson Education,2001.
Curriculum
- 5 Sections
- 11 Lessons
- 10 Weeks
- Module 1Introduction: Basic Components of a Control System, Open-Loop Control Systems and Closed-Loop Control Systems, Examples of control system Feedback and its effects: Types of Feedback Control Systems, Linear versus Nonlinear Control Systems, Time-Invariant versus Time-Varying Systems. Mathematical modelling of control systems: Electrical Systems and Mechanical systems. Transfer Function from Block Diagrams and Signal Flow Graphs: impulse response and its relation with transfer function of linear systems. Block diagram representation and reduction methods, Signal flow graph and Mason’s gain formula.9
- 3.1Introduction: Basic Components of a Control System, Examples of control system13 Minutes
- 3.2Open-Loop Control Systems and Closed-Loop Control Systems12 Minutes
- 3.3Feedback and Effects of Feedback on Gain, Stability, Sensitivity and Noise15 Minutes
- 3.4Mathematical modelling of Mechanical systems – Transfer Function, Force Balance Equations21 Minutes
- 3.5Mathematical modelling of Mechanical systems – Determine Transfer Function (Problem 1)39 Minutes
- 3.6Mathematical modelling of Mechanical systems – Determine Transfer Function (Problem 2)12 Minutes
- 3.7Mathematical modelling of Electrical systems – Determine Transfer Function7 Minutes
- 3.8Block Diagram Reduction Rules33 Minutes
- 3.9Block Diagram Reduction – Problem Solving9 Minutes
- Module 2Time Domain Analysis of Control Systems: Introduction- Standard Test signals, Time response specifications. Time response of first and second order systems to unit step input and ramp inputs, time domain specifications. Steady state error and static error coefficients. Frequency domain analysis: Frequency domain specifications, correlation between time and frequency responses.2
- Module 3Stability of linear control systems: Concept of BIBO stability, absolute stability, Routh Hurwitz Criterion, Effect of P, PI & PID controllers. Root Locus Techniques: Introduction, properties and its construction, Application to system stability studies. Illustration of the effect of addition of a zero and a pole.0
- Module 4Nyquist stability criterion: Fundamentals and analysis Relative stability: gain margin and phase margin. Stability analysis with Bode plot. Design of Compensators: Need of compensators, design of lag and lead compensators using Bode plots.0
- Module 5State Variable Analysis of Linear Dynamic Systems: State variables, state equations, state variable representation of electrical and mechanical systems, dynamic equations, merits for higher order differential equations and solution. Transfer function from State Variable Representation, Solutions of the state equations, state transition matrix Concept of controllability and observability and techniques to test them - Kalman’s Test.0