EI25401 Automatic Control Systems Syllabus:

EI25401 Automatic Control Systems Syllabus – Anna University UG Syllabus Regulation 2025

Course objective:

This course introduces the components and mathematical modeling of control systems using transfer functions and their graphical representations. It enables analysis in time and frequency domains, explores system stability using classical and state-space methods, and provides a foundation in compensator design techniques relevant to real-time industrial systems.

System Components and their Representation
Control System: Terminology and basic structure, Feedforward and feedback control theory, Electrical and mechanical transfer function models, Block diagram models, Signal flow graph models, DC and AC servo systems.
Activities:
Identification and modeling of mechanical and electrical systems using transfer functions, Development of block diagram models using simulation tools, Realization of signal flow graphs.

Time Response Analysis
Transient response, Steady state response, Measure of performance of the standard first-order and second-order systems, Time domain specifications, Effect of an additional zero and an additional pole, Steady state error, Type number, PID control, Effect of PD, PI, PID control systems.
Activities:
Time response analysis of first-order and second-order systems, Implementation of PID controllers using simulation tools, Evaluation of steady-state error for standard inputs, Real-time response analysis using software tools.

Frequency Response Analysis
Closed-loop frequency response, Performance specification in frequency domain, Bode plot, Polar plot
Activities:
Bode plot analysis of open-loop systems, Frequency domain specification validation, Polar plot construction, and interpretation.

System Analysis
Design of compensators using Bode plots, Cascade lead compensation, Cascade lag compensation, Cascade lag-lead compensation.
Activities:
Design and verification of lead, lag, and lag-lead compensators using simulation software.

Concepts of Stability Analysis
Concept of stability, Bounded-input bounded-output stability, Routh–Hurwitz stability criterion, Relative stability, Root locus concept, Guidelines for sketching root locus, Nyquist stability criterion.
Activities:
Routh–Hurwitz criterion implementation using symbolic computation tools, Root locus plot and analysis using control design software, Nyquist plot generation and stability assessment, Simulation of stable and unstable systems.

Control System Analysis Using State Variable Method
State variable representation, Conversion of state variable models to transfer functions, Conversion of transfer functions to state variable models, Solution of state equations, Concepts of controllability and observability, Equivalence between transfer function and state variable representations.
Activities:
State-space modeling, Simulation of state response for different inputs, Evaluation of controllability and observability using software, Comparison of transfer function and state-space results.

Weightage: Continuous Assessment: 40%, End Semester Examinations: 60%.

Assessment Methodology: Assignments (20%), Solution to application-oriented problems using software (20%), Solving of GATE questions (20%), Internal Examinations (40%).

Tasks:

T1: Model an electrical and mechanical system using transfer function and statespace representations and analyze its time-domain response.
T2: Design a P, PI, and PID controllers for the process, also evaluate and compare its performance in terms of transient and steady-state specifications.
T3: Analyze the frequency domain specifications of the system using Bode plot and polar plot.
T4: Design a lead, lag, or lag–lead compensators using Bode plots to meet the desired performance criteria
T5: Investigate the stability of the system using Routh–Hurwitz criterion, Root Locus technique, and Nyquist stability criterion.
T6: Examine the controllability and observability of the system for designing a state feedback controller and observer.

References:

1. Agashe, S. D. (n.d.). Control engineering [Video lectures]. NPTEL, IIT Bombay.
2. D’Azzo, J. J., Houpis, C. H., & Sheldon, S. N. (2009). Linear control system analysis and design with MATLAB. CRC Taylor & Francis.
3. Gopal, M. (2012). Control systems: Principles and design. McGraw Hill Education.
4. Kuo, B. C. (2014). Automatic control systems. Wiley.
5. Nagarath, I. J., & Gopal, M. (2017). Control systems engineering. New Age International Publishers.
6. Ogata, K. (2015). Modern control engineering. Pearson.
7. Panda, R. C., & Thyagarajan, T. (2017). An introduction to process modelling, identification and control for engineers. Narosa Publishing House.
8. Dorf, R. C., & Bishop, R. H. (2009). Modern control systems. Pearson Education..

List of Open Source Software / Learning Websites:

1. https://nptel.ac.in/courses/112107240
2. https://onlinecourses.nptel.ac.in/noc20_me25/preview
3. https://onlinecourses.nptel.ac.in/noc20_ee90/preview
4. https://www.classcentral.com/course/swayam-automatic-control-9850
5. https://nptel.ac.in/courses/107106081
6. https://nptel.ac.in/courses/108103007