Automatic Control

Introduction to control systems, mathematical models of systems, Laplace transforms, partial fraction methods. Block diagram and signal flow graph models, transfer functions of linear systems. Introduction to state-space models. Feedback control system characteristics, stability and tracking, the root locus method, design of industrial controllers, conformal mapping, the Nyquist stability criterion, Bode plots, design indexes, lead and lag controllers. Experiments to support control theory using physical processes (e.g. water level, temperature control, light intensity control, etc.); Control system simulation using Matlab; Modeling of physical (experimental) equipment; Static performance; Transient analysis; Measuring devices; Two-position control; Proportional control; PID control; Introduction to Electrical instrumentation and Measurements.