After successful completion of the course, students are able to autonomously perform the fundamental tasks of modeling, control design, and stability analysis. This knowledge forms the basis of modern methods for automation.
Introductory control examples, definitions and notations, Laplace-transform, modeling for control, linearization, transfer functions, block diagrams, frequency response, frequency plots and Bode-diagrams, classification of system behavior, inverse- and dead-time response, PID-controllers and their digital implementation, closed-loop stability, Hurwitz-criterion and simplified Nyquist-criterion, specification and design in the time domain, tuning rules, specifications and design in the frequency domain.
Solid knowledge in mathematics, mechanics, electrical engineering, thermodynamics and fluid mechanics is required for the course.
