EEE 453 - Control Systems I
Nature and use of automatic control; concept and purpose of feedback; servomechanism control and regulatory control. Description of simple control systems – servomotors, tachogenerators, error detectors, amplifiers, actuators, valves. Open-loop and closed-loop control system, system specifications. Mathematical models – differential equations, state-space models and transfer function model. Transfer function model of simple electrical, mechanical, pneumatic, hydraulics, and thermal systems. Block diagram algebra – reduction techniques and signal flow graphs. Simulation of dynamics systems. Controllability. Observability. System types. Effects of feedback. Sensitivity. Time response analysis: transient response to test input signals, steady-state errors, stability analysis, Routh-Hurwitz criterion, root-locus techniques, time-domain performance criteria. Frequency-response analysis: Bode plots, Nyquist plots, bandwidth, resonant peak, gain and phase margins, non-minimum phase systems, inverse responses, Nyquist criterion, Hall charts and Nichols chart, frequency-domain performance criteria. Classical vs modern control design techniques, bang-bang control, pole placement, PID control, IMC control, ratio control, cascade control, introduction to non-linear systems. Detailed use of MATLAB-SIMULINK for analysis and design.