- Course unit code:
- N422T0_4I
- Course unit title:
- Automatic Control Theory III
- Mode of delivery, planned learning activities and teaching methods:
- lecture – 2 hours weekly (on-site method)
laboratory practice – 2 hours weekly (on-site method)
- Credits allocated:
- 5
- Recommended semester:
- Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
- Level of study:
- 2.
- Prerequisites for registration:
- none
- Assesment methods:
- 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.
- Course contents:
- Adaptive control
Multivariable control (RGA analysis, decoupling control, MPC)
Process control (heat exchangers, distillation columns, chemical reactors, combustion, waste-water treatment plants)
- Recommended or required reading:
Basic:
- MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 s. ISBN 978-3-540-71969-4.
- SKOGESTAD, S. – POSTLETHWAITE, I. Multivariable Feedback Control: Analysis and Design. Chichester : John Wiley & Sons, 2005. 574 s. ISBN 0-470-01168-8.
- Language of instruction:
- Slovak, English
- Assessed students in total:
32
A 50 %
B 21.9 %
C 15.6 %
D 12.5 %
E 0 %
FX 0 %
- Name of lecturer(s):
- M. Fikar, L. Galčíková, M. Horváthová, J. Oravec (2020/2021 – Winter)
M. Fikar, P. Valiauga (2019/2020 – Winter)
M. Fikar, J. Oravec (2018/2019 – Winter)
M. Fikar, J. Oravec (2017/2018 – Winter)
M. Fikar, J. Oravec (2016/2017 – Winter)
M. Fikar, J. Oravec (2015/2016 – Winter)
- Course supervisor:
- prof. Ing. Miroslav Fikar, DrSc.
- Last modification:
- 19. 9. 2019
Department:
Department of Information Engineering and Process Control
AIS: 2019/2020
2018/2019
2017/2018