Introduction
Control systems are integral to modern industry, enabling automation and efficiency in processes and machinery. The Control System Theory course equips students with foundational knowledge of feedback control systems, system analysis, and controller design, helping them excel in the field of industrial automation and robotics.
Syllabus Overview
Unit 1: Introduction to Control Problem
- Topics Covered:
- Industrial control examples
- Mathematical models of physical systems
- Transfer function models for linear time-invariant systems
- Feedback control: Open-loop and closed-loop systems
- Benefits of feedback and block diagram algebra
- Key Applications:
- Understanding the role of control systems in industrial automation and process management.
- Hours: 5 | Weightage: 15%
Unit 2: Time Response Analysis
- Topics Covered:
- Standard test signals and time response of first and second-order systems
- Application of initial and final value theorems
- Design specifications for second-order systems
- Stability analysis: Routh-Hurwitz Criteria and Relative Stability
- Root-Locus technique and construction of Root-Loci
- Key Applications:
- Evaluating system stability and optimizing time response for industrial systems.
- Hours: 12 | Weightage: 25%
Unit 3: Frequency Response Analysis
- Topics Covered:
- Relationship between time and frequency responses
- Polar plots, Bode plots, and Nyquist stability criterion
- Gain and phase margins, closed-loop frequency response
- Key Applications:
- Designing and analyzing frequency-domain stability in communication and automation systems.
- Hours: 8 | Weightage: 20%
Unit 4: Introduction to Controller Design
- Topics Covered:
- Stability, accuracy, disturbance rejection, and robustness in control systems
- Feedback controller design using Root-Loci and frequency-domain methods
- Applications of Proportional, Integral, and Derivative Controllers (PID)
- Lead and Lag compensation
- Analog and digital implementation of controllers
- Key Applications:
- Controller design for temperature control, robotics, and industrial machinery.
- Hours: 12 | Weightage: 25%
Unit 5: State Variable Analysis
- Topics Covered:
- State space models and diagonalization
- Eigenvalues, stability, controllability, and observability
- Pole-placement by state feedback
- Discrete-time systems and difference equations
- Stability of linear discrete-time systems
- Key Applications:
- Advanced system modeling and state feedback control in modern control engineering.
- Hours: 6 | Weightage: 15%