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Control systems in industry

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code638-3025/01
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *Second Cycle
Year of Study *Second Year
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
DAV47doc. Ing. Jiří David, Ph.D.
SVE05Ing. Pavel Švec, Ph.D.
GRY0035Ing. Ondřej Grycz, Ph.D.
Summary
The subject deals with the problems of industrial systems management focused on communication standards and programmable automata in industry, application of artificial intelligence methods in industrial conditions. Attention is also paid to computer support for determining the reliability of industrial systems using industrial diagnostic tools. Continuous sensing of technological variables and the conclusion of digital image processing are also discussed.
Learning Outcomes of the Course Unit
The student will be able to analyze various control systems and will be able to apply modern measuring and diagnostic devices and systems based on conventional and unconventional methods of control. The student will be able to define and create tasks in various industrial applications using modern technical means of automation.
Course Contents
1. Communication standards and programmable logic controllers in industry
2. Automatization dust dispensing from the tray
3. Artificial intelligence methods in industrial conditions
4. Application of fuzzy clustering to process control
5. Computer support to determine the reliability of industrial systems.
6. Industrial diagnostics
7. Lifetime of the mold
8. Device for remote control of the diagnostic system
9. Calculation of the temperature parameters of the material from the combined heat capacity model
10. Continuous industrial measuring systems
11. Continuous detection of toxic and explosive gases
12. Continuous humidity measurement by microwave method under operating conditions.
13. Digital image processing, edge detection in picture
14. The use of computer techniques for prediction of internal defects of castings
15. Adaptive Management in Industry
Recommended or Required Reading
Required Reading:
WALTER J. G. and T. L. VINCENT. Modern control systems analysis and design. New York : John Wiley & Sons, Inc., 1993. ISBN 0-471-81193-9.
TATJEWSKI, P. Advanced Control of Industrial Processes: Structures and Algorithms. New York: Springer Science & Business Media, 2007. ISBN 9781846286353.
ZHANG, P. Advanced Industrial Control Technology. New York: William Andrew, 2010. ISBN: 9781437778083.

DAVID, J. Vybrané kapitoly ze Systémů řízení v průmyslu - teorie a příklady. Ostrava: VŠB-TU Ostrava, 2013.
ZEZULKA, F. Prostředky průmyslové automatizace. Brno: Vysoké učení technické v Brně/nakladatelství VUTIUM, 2004. ISBN: 80-214-2610-1.
TIDD, J., J. BESSANT a K. PAVITT. Řízení inovací. Zavádění technologických, tržních a organizačních změn. Brno: Computer Press/CP Books, 2007. ISBN: 978-80-251-1466-7.
VALTER J. Regulace v praxi. BEN - technická literatura, 2010. ISBN:
978-80-7300-256-5.
WALTER J. G. and T. L. VINCENT. Modern control systems analysis and design. New York : John Wiley & Sons, Inc., 1993. ISBN 0-471-81193-9.
TATJEWSKI, P. Advanced Control of Industrial Processes: Structures and Algorithms. New York: Springer Science & Business Media, 2007. ISBN 9781846286353.
ZHANG, P. Advanced Industrial Control Technology. New York: William Andrew, 2010. ISBN: 9781437778083.
Recommended Reading:
FORTUNA, L. et. al. Soft Sensors for Monitoring and Control of Industrial Processes. New York: Springer Science & Business Media, 2007. ISBN: 9781846284809.
GRIMBLE, M. J. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems. New York: John Wiley & Sons, 2006. ISBN: 9780470020746.
CAMACHO, E. F. and C. B. ALBA. Model Predictive Control. New York: Springer Science & Business Media, 2013. ISBN: 9780857293985.
LIU, T. and F. GAO. Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods. New York: Springer Science & Business Media, 2011. ISBN: 9780857299772.
MENTLÍK, V. et. al. Spolehlivostní aspekty elektrotechnologie. Praha: BEN - technická literatura, 2011. ISBN: 978-80-7300-412-5.
LAUCKÝ, V. Řízení technologických procesů v průmyslu komerční bezpečnosti. Zlín: Univerzita Tomáše Bati, 2005. ISBN: 80-7318-239-3.
FORTUNA, L. et. al. Soft Sensors for Monitoring and Control of Industrial Processes. New York: Springer Science & Business Media, 2007. ISBN: 9781846284809.
GRIMBLE, M. J. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems. New York: John Wiley & Sons, 2006. ISBN: 9780470020746.
CAMACHO, E. F. and C. B. ALBA. Model Predictive Control. New York: Springer Science & Business Media, 2013. ISBN: 9780857293985.
LIU, T. and F. GAO. Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods. New York: Springer Science & Business Media, 2011. ISBN: 9780857299772.
Planned learning activities and teaching methods
Seminars, Tutorials, Project work
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Graded creditGraded credit100 51