| Course Unit Code | 638-2029/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Third Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| HEG30 | doc. Ing. Milan Heger, CSc. |
| ZIM018 | Ing. Ondřej Zimný, Ph.D. |
| Summary |
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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.
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| Learning Outcomes of the Course Unit |
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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.
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| Course Contents |
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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.
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| Recommended or Required Reading |
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| Required Reading: |
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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
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ŠULC, B. Teorie automatického řízení s počítačovou podporou. Praha: ČVUT, 1999. 153 s. ISBN 80-01-01974-B.
BALÁTĚ, J. Automatické řízení. Praha: Nakladatelství BEN, 2003, 654 s. ISBN 80-7300-020-2
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. |
| Recommended Reading: |
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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
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ŠVARC, I., R. MATOUŠEK, M. ŠEDA a M. VÍTEČKOVÁ. Automatické řízení (2. vydání). Brno: Akademické nakladatelství CERM, 2011. ISBN 978-80-214-4398-3
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Experimental work in labs |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 20 | 10 |
| Examination | Examination | 80 | 41 |