Control Engineering

Linear systems and their descriptions: differential equations, state space, Laplace transform and transfer function, frequency response (Bode, Nyquist, Nichols plots), step response.

Block diagrams, open-loop, closed-loop systems and corresponding transfer functions.

Linearization and normalization.

Stability, steady state error, dynamic error.

Features of elements of control systems in power electronics and electrical drives.

PID controllers, their realization with operational amplifiers and microcontrollers.

Optimization of controllers' parameters.

Cascade control systems, process control systems.

Features of digital control, Z-transform.

Influence of nonlinearities, limit cycles, integrator wind-up.

Basics of simulations and use of appropriate tools in control system design.

Examples of control systems in power electronics and electrical drives.

The student will master fundamental topics in the field of control engineering, with emphasis on linear systems. He will meet a variety of methods to design control systems and learn how to use these methods with state-of-the-art software tools. The student will become aware of the modeling inadequacies and will develop a critical approach to design of control systems, especially in the field of power electronics and electrical drives.

Lectures (60 hours) and laboratory work (30 hours); optional: project work on R&D activities within the Laboratory of Control Engineering and Power Electronics. For foreign students: consultations in English and project work.