638-0930/01 – Control of industrial processes (RPP)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits10
Subject guarantordoc. Ing. Jiří David, Ph.D.Subject version guarantordoc. Ing. Jiří David, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
DAV47 doc. Ing. Jiří David, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Combined Examination 20+0

Subject aims expressed by acquired skills and competences

Students will be able to analyse the challenges of managing production systems of individual business levels. They will be able to carry out designs of computer models of metallurgical systems, to solve optimal and adaptive control systems. Students will understand the modern identification, localization and robotic technologies and will be able to define and create solutions of problems in applications of these methods on automation and simulation of metallurgical processes.

Teaching methods

Individual consultations
Project work

Summary

Approaches to controlling production systems from individual controlling enterprise levels are discussed. Attention is also paid to the creation of computer models of industrial systems and individual stages of modeling. Optimal and adaptive control in industrial systems and methods of creating management algorithms. Further attention is paid to modern trends in industrial and non-industrial systems management, localization and robotics systems. The application of the mentioned means and methods is performed on selected industrial processes in their automation and modeling.

Compulsory literature:

GROOVER, M. P. Automation, Production Systems, and Computer-Integrated Manufacturing. Pearson, 2013. NISE, N. S. Control Systems Engineering. New Jersey: Wiley; 2015. ISBN: 978-1118170519. WILSON, M. Implementation of Robot Systems: An introduction to robotics, automation, and successful systems integration in manufacturing. Berlin: Butterworth-Heinemann, 2014. ISBN: 978-0124047334. FRANKLIN, G.F.,‎ J. D. POWELL a A. EMAMI-NAEINI. Feedback Control of Dynamic Systems. London: Pearson, 2014. ISBN: 978-0133496598. SEBORG, D. E., T. F. EDGAR,‎ D. A. MELLICHAMP a‎ F. J. DOYLE. Process Dynamics and Control. New Jersey: Wiley, 2016. ISBN: 978-1119385561.

Recommended literature:

MEHTA, B. R. and Y. J. REDDY. Industrial Process Automation Systems: Design and Implementation. Butterworth-Heinemann Ltd, 2014. DE SILVA, C. W. Modeling and Control of Engineering Systems. CRC Press 2009. DORF, R. F. and‎ R. H. BISHOP. Modern Control Systems. London:Pearson; 2010. ISBN: 978-0136024583. ROSS, L. T.,‎ S. W. FARDO and‎ M. F. WALACH. Industrial Robotics Fundamentals: Theory and Applications. Tinley Park: Goodheart-Willcox, 2017. ISBN: 978-1631269417.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Elaboration of seminar work on a given topic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

• Production and control – basic approaches for production control, typology of production processes. • Industrial automation and information technologies. • Development and trends of software technologies. • Software tool for production company’s control. • Corporate informatics in metallurgical company. • Operational control of metallurgical production. • Simulation and synthesis of control circuits. • Construction of corporate control systems. • Data processing from technological processes. • Methods of system identification, creation of computer models. • Optimal and adaptive control in metallurgy, methods of control algorithm creation. • Control with help of intelligent agents, holonics and multi agent systems. • Technology of identification and localization of objects in metallurgical environment. • Industrial robots and manipulators. • Application above mentioned methods on automation and modeling of metallurgical processes.

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner