638-2016/01 – Automatic Control II. (AŘ2)
| 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 | 2014/2015 | 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.
Compulsory literature:
[1] O´Dwyer, A. Handbook of PI and PID Controllers Tuning Rules. Imperial College Press. World Scientific. New Jersey. London, Singapure, Hong Kong. 2003. ISBN I-86094-350-0
[2] Pedrycz, W.: Fuzzy control and fuzzy systems, Research Studies Press, Taunton, USA, 1993
Recommended literature:
[1] ǺstrÖm, K., HÄgglund, T. PID Controllers: Theory, Design and Tuning. Second Edition. Research Triangle Park - North Carolina, Instrument Society of America 1995
[2] Goodwin G.C., Graebe S., Salgado M.: Control System Design, Prentice-Hall 2000
[3] Aström K.J., Wittenmark B.: Computer Controlled System: Theory and Design, Prentice-Hall 1997
[4] Wolovich W.A.: Automatic Control Systems: Basic Analysis and Design, Saunders College Publishing 1994
[5] Leigh J.R.: Applied Digital Control, Prentice Hall 1992
Additional study materials
Way of continuous check of knowledge in the course of semester
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 regulatory circuits, basic concepts and definitions, algebraic stability criteria , frequency stability
criteria, solution stability using logarithmic frequency response characteristics.
2. The accuracy of the regulation, the calculation of the control deviation, the choice of type of regulator and
its settings from the perspective of the accuracy requirements of regulation.
3. Quality of control, criteria of quality of control, the method of setting the regulator in terms of ensuring
the optimal control process.
4. Use the methods of inverse Dynamics for optimum setting of linear regulatory circuits.
5. The different types of non-linear systems and their mathematical description.
6. Control of nonlinear systems, linearization and special methods of solution.
7. Stability of nonlinear systems and setting of nonlinear controllers with applications in metallurgy.
8. The status description of the linear and nonlinear dynamical systems and its use for the simulation and control.
9. Application of z-transform for discrete control of metallurgical processes.
10. Stability and accuracy of the discrete control circuits.
11. Setting discrete regulators for optimal control of metallurgical aggregates.
12. Adaptive control of technological processes and its algorithms, the use of adaptive identification.
13. Fuzzy control, fundamental terms, fuzzy sets theory, fuzzification and defuzzification.
14. Fuzzy controllers, option, setting, comparing of fuzzy controllers with the classical regulators. Artificial neural networks and their applications in control.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction