Electrical Engineering (EE) Syllabus:1. Control System:Introduction to control systems, open and closed-loop systems, feedback and feedforward control, mathematical modeling of systems, transfer function and block diagram representation, time response analysis.
2. Basics of Control System:Classification of control system, types of feedback, signal flow graph, Mason's gain formula, Routh-Hurwitz criterion, Nyquist stability criterion.
3. Block Diagram and SFG:Block diagram reduction techniques, signal flow graph manipulation, Mason's gain formula.
4. Time Domain Analysis:Time response analysis of first-order and second-order systems, poles and zeros, transient and steady-state response, error constants.
5. System Stability:Stability analysis, Routh-Hurwitz criterion, Nyquist stability criterion, Bode plot, root locus.
6. Frequency Domain Analysis:Frequency response analysis, Bode plot, polar plot, gain and phase margins, Nyquist plot.
7. Controllers and Compensators:Proportional, Integral, Derivative (PID) controllers, lead-lag compensators, phase-lead and phase-lag compensators, design of compensators.
8. Introduction to State Space Analysis:State variables, state space representation, diagonalization of state matrix, stability analysis, transfer function from state space representation.
9. Extra Numerical:Numerical problems related to the above topics, Laplace transform, Fourier series and Fourier transform.
Note: This syllabus is designed to provide a comprehensive understanding of control systems and their applications in electrical engineering. Students are expected to have a basic understanding of calculus, differential equations, and circuit analysis.
This course is helpful for the following exams: Electrical Engineering (EE), Electronics and Communication Engineering (ECE)