After successful completion of the course, students are able to independently perform the essential tasks of model building, controller design, and stability analysis. This knowledge is the foundation for modern automation methods.
Introductory examples, basic terms and notations, Laplace transform, modeling for control, linearization, transfer function, block diagrams, frequency response, frequency plots and Bode diagram, classification of system behavior, all-pass and dead-time response, PID controller, closed-loop stability, Hurwitz criterion and Nyquist criteria, time-domain specifications and design, tuning rules, frequency-domain specifications and design.
Inverted Classroom, live sessions, question and answer sessions, calculate practice examples, and lab experiments.
Solid prior knowledge of mathematics, mechanics, electrical engineering, thermodynamics, and fluid mechanics is essential.
