Control Systems.

Catalog description

This course provides a comprehensive introduction to automatic control systems, covering both theoretical analysis and practical design for various engineering applications. Key topics include the modeling of physical systems using transfer functions and state-space representations, system response analysis, and performance evaluation based on design criteria. The course explores control system characteristics such as stability, sensitivity, steady-state errors, and transient response. Students will learn stability analysis techniques, including the Routh-Hurwitz criterion, Root Locus, Nyquist, and Bode methods. The course also covers lead and lag compensators, PID controllers, and control system design using the Root Locus and frequency response methods. MATLAB and SIMULINK are integrated throughout to facilitate system analysis and design. (Spring) Prerequisite: EG3325.