638-2029/01 – Theory of control TP II. (TŘTP2)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits5
Subject guarantordoc. Ing. Milan Heger, CSc.Subject version guarantordoc. Ing. Milan Heger, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Year3Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HEG30 doc. Ing. Milan Heger, CSc.
ZIM018 Ing. Ondřej Zimný, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+2
Combined Credit and Examination 16+0

Subject aims expressed by acquired skills and competences

Student will be able to conduct basic technological processes. Student will be able to evaluate suitability of individual control methods for specific technological process. Student will be able to illustrate possibility of artificial intelligence application for control systems.

Teaching methods

Lectures
Tutorials
Experimental work in labs

Summary

Basic terms of automatic control theory are discussed. The attention is paid to continuous linear control methods, control circuit fusion and discrete control. The end of lectures is aimed to interpretation of fuzzy control bases and artificial intelligence exploitation for control. The course is complete information on problems of solving the problems of control theory of technological aggregates.

Compulsory literature:

ELONI, A. a N. MIRIDAKIS. Digital control systems: theoretical problems and simulation tools. Boca Raton: CRC Press, Taylor & Francis Group, 2018. ISBN 978-1-138-03920-9. Pedrycz, W. Fuzzy control and fuzzy systems, Research Studies Press, Taunton, USA, 1993

Recommended literature:

ASTRÖM, Karl Johan a Richard M. MURRAY. Feedback systems: an introduction for scientists and engineers. Princeton: Princeton University Press, 2008. ISBN 978-0-691-13576-2. MIDDLETON, R. H. a G. C. GOODWIN. Digital control and estimation: a unified approach. Englewood Cliffs: Prentice Hall, 1990. ISBN 0-13-211798-3. Leigh J.R.: Applied Digital Control, Prentice Hall 1992

Way of continuous check of knowledge in the course of semester

Written and oral examination.

E-learning

Další požadavky na studenta

elaboration of semester project and passing the test

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Stability of control circuits as a necessary condition of the existence of a control circuit, basic concepts and definitions, algebraic and frequency criteria, solving stability by frequency logarithmic characteristics. 2. Control accuracy, calculation of the control deviation, selection of the controller type and its adjustment in terms of regulatory accuracy requirements. The key importance of accuracy of the encoded variable sensor and the accuracy of regulation. 3. Quality of regulation, quality control criteria, methods of setting the controller in order to ensure optimal control march. Practical use of individual methods of setting linear control circuits with knowledge of the mathematical description of the regulated system. 4. Non-linear elements of technological processes. Individual types of nonlinear systems and their mathematical description. Software implementation of typical nonlinearities and their influence on the management strategy and their use in control. 5. Control of non-linear systems, linearization and special methods of solution. Stability of nonlinear systems and setting of nonlinear regulators with applications in metallurgy and related fields. 6. State description of linear and nonlinear dynamic systems and their use for simulation and control. 7. Discrete control and its application in technological processes management. Stability and accuracy of discrete control circuits. Software implementation of discrete controllers. Discrete controllers settings for optimal control of metallurgical aggregates and technological processes. 8. Adaptive control of technological processes and their algorithms, use of adaptive identification. Self-adjusting regulators. 9. Fuzzy control, basic concepts, fuzzy sets, fuzzification, defuzzification. Fuzzy controllers, choice, setting, comparison with classic regulation. 10. Neural networks and genetic algorithms and their application in technological processes control.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 20  10
        Examination Examination 80  41
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B0488A270001) Quality Management and Control of Industrial Systems (S03) Computer Control Systems in Industry P Czech Ostrava 3 Compulsory study plan
2019/2020 (B0488A270001) Quality Management and Control of Industrial Systems (S03) Computer Control Systems in Industry K Czech Ostrava 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner