Under Graduate Courses
Program Core :
EEL301 Control Engineering - I (3-1-0)
Introduction to the control problem, Industrial control examples, Transfer function models of suitable mechanical, electrical, thermal and pneumatic systems. Systems with dead time, Control hardware and their models: Potentiometers, synchros, LVDT, DC and AC servo motors, tachogenerators, electro-hydraulic valves, pneumatic actuators. Closed loop control systems, Block diagram and signal flow analysis, Basic Characteristics of feedback control systems : stability, steady-state accuracy, transient accuracy, disturbance rejection, insensitivity and robustness.Basic modes of feedback control :Proportional, Integral, Derivative. Concept of stability and Routh stability criterion.Time response of 2nd order system, steady state error and error constants, Performance specifications in the time domain. Root locus method of design. Lead and lag compensation. Nyquist stability criterion. Frequency response analysis: Nyquist plots, constant M circles, constant N-circles, Bode plots, Nichols Charts Performance specifications in frequency domain, Frequency-domain methods of design. Lead and lag.
Program Elective : EEL325 Control Engineering - II (3-0-0)
Introduction to digital control systems,Principles of signal conversion, sampling and reconstruction. Principle of discretization. Impulse and step invariance. Finite difference approximation. Bilinear transformation, Mathematical models discrete time signals and systems. Transfer function and system response. Stability on the z domain. Closed loop digital control systems. System with dead time. Commonly used digital devices. Examples of industrial control systems. Transform design of digital controllers. Root locus methods and frequency domain method.State variable representation of continious and discrete time systems. Conversions state variable models to transfer function models. Conversion of transfer function to canonical models. Eigen values and eigen vectors. Solution of state equations. Controllability and observability properties.