Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
Prerequisites for registration:
The course is evaluated as follows: 30% work during the semester, 30% written examination, and 40% oral examination (theory). Evaluation scale follows the standard scale of the faculty.
Learning outcomes of the course unit:
Students know advanced theory of automatic control and process control, are able to work with multi-variable systems. Students can design control of heat exchangers, distillation columns, chemical reactors and other processes of chemical technology.
Adaptive control (heuristic, self-tuning, MRAC)
Multivariable control (RGA analysis, decoupling control, MPC)
Process control (heat exchangers, distillation columns, chemical reactors, combustion, waste-water treatment plants)
Recommended or required reading:
MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 p. ISBN 978-3-540-71969-4.
SKOGESTAD, S. – POSTLETHWAITE, I. Multivariable Feedback Control: Analysis and Design. Chichester : John Wiley & Sons, 2005. 574 p. ISBN 0-470-01168-8.
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.