638-0412/01 – Automatic Control II. (AŘ2)

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 introduction2004/2005Year of cancellation
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HEG30 doc. Ing. Milan Heger, CSc.
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:

[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

Way of continuous check of knowledge in the course of semester

E-learning

Integrovaný systém modulární počítačové podpory výuky ekonomicko-technického zaměření (http://lms.vsb.cz) - Vzdělávací modul 1 – Počítačové systémy řízení metalurgických procesů. - fyzické modely ohřívačů větru, kyslíkového konvertoru, ohřívací pece a válcovací stolice, - výukový program č. 3: simulační program časových průběhů lineárního časově invariantního dynamického systému, - výukový program č. 4: simulační program – určení stability regulačního obvodu s lineárním časově invariantním dynamickým systémem, - výukový program č. 5: stavový popis lineárního časově invariantního dynamického systému. Ostrava: VŠB-TU Ostrava, 2012.

Další požadavky na studenta

Semester program according to specific assignment.

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. 15. Artificial neural networks and their applications in control.

Conditions for subject completion

Combined form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (145) 51
        Examination Examination 100  0
        Exercises evaluation Credit 45  0
Mandatory attendence parzicipation:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2013/2014 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2013/2014 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2012/2013 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2012/2013 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2011/2012 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2011/2012 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2011/2012 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan
2010/2011 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2010/2011 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan
2010/2011 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2009/2010 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2009/2010 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2009/2010 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan
2008/2009 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2008/2009 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan
2008/2009 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2007/2008 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2007/2008 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2007/2008 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan
2006/2007 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2006/2007 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2006/2007 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan
2005/2006 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry P Czech Ostrava 3 Compulsory study plan
2005/2006 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Ostrava 3 Compulsory study plan
2005/2006 (B3922) Economics and Management of Industrial Systems (3902R040) Automation and Computing in Industry K Czech Třinec 3 Compulsory study plan

Occurrence in special blocks

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