654-3025/01 – Control systems in industry (SŘP)

Gurantor department	Department of Industrial Systems Management	Credits	5
Subject guarantor	prof. Ing. Petr Besta, Ph.D.	Subject version guarantor	prof. Ing. Petr Besta, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	2	Semester	summer
		Study language	Czech
Year of introduction	2022/2023	Year of cancellation
Intended for the faculties	FMT	Intended for study types	Follow-up Master

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
BEC0052	Ing. Miloslav Bečka
BES04	prof. Ing. Petr Besta, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Graded credit	3+2
Part-time	Graded credit	0+16

Subject aims expressed by acquired skills and competences

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.

Teaching methods

Seminars
Tutorials
Project work

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.

Compulsory literature:

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 literature:

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.

Additional study materials

Study supports in the EduDocs system

Way of continuous check of knowledge in the course of semester

Prezentace projektu a ústní zkoušení.

E-learning

Other requirements

Project processing of control of industrial system.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

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

Conditions for subject completion

Part-time form (validity from: 2022/2023 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Graded credit	Graded credit	100	51	3

Mandatory attendence participation: Attendance at seminars min 80%. Elaboration of assigned tasks.

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic year	Programme	Branch/spec.	Form	Study language	Tut. centre	Year	Type of duty
2025/2026	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	P	Czech	Ostrava	2	Compulsory	study plan
2025/2026	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	K	Czech	Ostrava	2	Compulsory	study plan
2024/2025	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	P	Czech	Ostrava	2	Compulsory	study plan
2024/2025	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	K	Czech	Ostrava	2	Compulsory	study plan
2023/2024	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	P	Czech	Ostrava	2	Compulsory	study plan
2023/2024	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	K	Czech	Ostrava	2	Compulsory	study plan
2022/2023	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	P	Czech	Ostrava	2	Compulsory	study plan
2022/2023	(N0413A270002) Quality Management and Control of Industrial Systems	(S03) Intelligent Control Systems in Industry	K	Czech	Ostrava	2	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

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