Subject Code & Name: IC25402 – Control Systems
Regulation: R-2025
Semester: IV (Fourth Semester)
Branch: B.E. Instrumentation and Control Engineering (ICE)
Credits / L-T-P: 3 Credits | L-T-P: 3-0-0
Course Objectives
- The objective of this course is to equip students with a fundamental understanding of control systems by modelling physical systems using transfer functions and state- space methods.
- The course aims to develop analytical skills to evaluate system behavior in both time and frequency domains, assess system stability, and design appropriate controllers and compensators to meet desired performance specifications.
- Through theoretical concepts and design techniques, students will gain the ability to model, analyse, and control dynamic systems effectively.
Full Unit-wise Syllabus
Unit I – Transfer Function Modelling of the Physical Systems
Systems - open and closed loop systems configurations - Modelling: electrical, mechanical and electro-mechanical systems - Block Diagram Reduction-Signal Flow Graph.
Unit II – Time Domain Analysis of the System
Standard test signals - Time response analysis of first and second order systems – Time domain specifications - Steady State Error - Generalized error series.
Unit III – Stability Analysis and Root Locus
Routh Hurwitz Criteria - Root Locus: concepts and construction rules - Effect of addition of poles and Zeros – Analysis of system using Root Locus.
Unit IV – Frequency Domain Analysis of the System
Frequency domain analysis - specifications -Correlation between time domain and frequency domain –Open loop frequency response: Bode Plot - Polar Plot - Closed loop frequency response - Nyquist Stability Criteria.
Unit V – Design Of Compensator and Controller
Design specifications - Compensator network and types - Design of Lag compensator, Lead Compensator and Lag-Lead Compensator using Bode plot
Unit VI – State Space Analysis of the System
State Space model Representation – State space from transfer function: Phase variable, Canonical variable – Block diagram representation of state space model – Solution of state equations – controllability, observability and stability analysis of the system. – PID control algorithms - Ziegler- Nichols based PID controller design - Design of State Feedback controller using pole placement.
Course Outcomes (COs)
- CO1: Model physical systems using transfer function and block diagram representations.
- CO2: Analyze system performance in time and frequency domains and evaluate stability using appropriate techniques.
- CO3: Apply root locus and frequency response methods for stability analysis and system design.
- CO4: Design controllers and compensators using classical and state-space techniques to meet desired specifications.
Assessment Pattern (Quick Note)
- Weightage: Continuous Assessment 40% | End Semester Examinations 60%
- Internal methodology: Assignments (20%), Solution to application-oriented problems using software (20%), Review of GATE questions (20%), Internal Examinations (40%). Tasks: T1: Model an electrical, mechanical and electro-mechanical system using transfer function and state-space representations and analyze its time-domain response . T2: Design a PID controllers for the process using Ziegler Nichols technique, also evaluate its performance in terms of transient and steady-state specifications. T3: Analyze the frequency domain specifications of the system using Bode plot, Polar plot and Nyquist 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 T6: Examine the controllability and observability of the system and design a state feedback controller for the same using pole placement technique
Source: Official Anna University – B.E. Instrumentation and Control Engineering R-2025 Syllabus
Last Updated: October 2026
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