638-2029/01 – Theory of control TP II. (TŘTP2)
Gurantor department | Department of Automation and Computing in Industry | Credits | 5 |
Subject guarantor | doc. Ing. Milan Heger, CSc. | Subject version guarantor | doc. Ing. Milan Heger, CSc. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 3 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2019/2020 | Year of cancellation | 2022/2023 |
Intended for the faculties | FMT | Intended for study types | Bachelor |
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:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Written and oral examination.
E-learning
Other requirements
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.