Subject description
– control systems terminology, control technology instrumentation, control levels,
– programmable control systems, discrete control using programmable logic controllers,
– descriptions of control systems and related analysis, mathematical modelling, simulation, properties of dynamic systems, transfer functions and block diagrams, time domain analysis,
– closed-loop control systems, feedback effects,
basic control algorithms (P, PI) and their implementation,
– illustration with practical examples
The subject is taught in programs
Objectives and competences
The basic objective is to introduce the field of automatic control, basic terms and the idea of systems approach and systems life cycle, and to present basic control principles and related control technology instrumentation, application domains, and Matlab/Simulink technical computing and simulation software.
Teaching and learning methods
Lectures, laboratory exercises, excursions to industiral and semi-industrial plants.
Expected study results
After successful completion of the course, students should be able to:
– define basic control system concepts,
– describe significant parts of control technology instrumentation,
– explain basic systems representations (graphical and mathematical),
– analyze basic control structures and algorithms,
– build simple programmable control systems,
– use the simulation for analysis and design of simple control systems.
Basic sources and literature
- G. Mušič , Avtomatika, Založba FE in FRI, Ljubljana, 2014.
- S. Oblak, I. Škrjanc, Matlab s Simulinkom : priročnik za laboratorijske vaje, 1. izdaja, Univerza v Ljubljani, Fakulteta za elektrotehniko, 2005.
- S. Strmčnik in soavtorji: Celostni pristop k računalniškem vodenju procesov, Založba FE in FRI, Ljubljana, 1998.
- F. Golnaraghi, B. C. Kuo: Automatic Control Systems, 9th Edition, Wiley, 2009.
- N. S. Nise: Control Systems Engineering, 6th Edition, International Student Version, Wiley, 2011.