352-0550/02 – Advanced Methods of Automatic Control (PMAŘ)

Gurantor departmentDepartment of Control Systems and InstrumentationCredits4
Subject guarantorprof. Ing. Miluše Vítečková, CSc.Subject version guarantorprof. Ing. Miluše Vítečková, CSc.
Study levelundergraduate or graduateRequirementOptional
Year2Semestersummer
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesUSP, FSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
VIT60 prof. Ing. Miluše Vítečková, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 10+4

Subject aims expressed by acquired skills and competences

The subject “Advanced Methods of Automatic Control ” belongs among subjects, which form the graduate profile of the student in master study program “Mechatronics”. Its objective is acquainting with the advanced methods, which are used in theory of automatic control. These methods are robust and optimal control.

Teaching methods

Lectures
Tutorials

Summary

Robustness of the control system with analog controller. Optimal control systems, optimality criteria, methods of optimal control design. Robust control, control in sliding modes.

Compulsory literature:

ÅSTRÖM, K. J., HÄGGLUND, T. (1995) PID Controllers: Theory, Design, and Tuning. Second Edition. ISA – Instrument Society of America, Research Triangle Park, 1995, 343 p. SKOGESTAD, S., POSTLETHWAITE, I. (2005) Multivariable Feedback Control. Analysis and Design. Second Edition. John Wiley & Sons, River Street, 2005, 574 p.

Recommended literature:

ARIMOTO, S. Control Theory of Non-linear Mechanical Systems. A Passivity-based and Circuit-theoretic Approach. Clarendon Press, Oxford, 1996 CANUDAS DE WIT, C. ,SICILIANO, B., BASTIN, G. Theory of Robot Control. Springer – Verlag, Berlin, 1996

Way of continuous check of knowledge in the course of semester

Final test

E-learning

Další požadavky na studenta

Delivery of two specified programs.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Acquainting with problems and content of subject. Mathematical models of linear MIMO dynamic elements. 2. MIMO control systems, stability, autonomity, invariance.. 3. Synthesis of linear MIMO control systems. 4. State-space models of MIMO systems and their behavior. 5. Basic problems of optimal control. Dynamic programming. Bellman principle of optimality. 6. Quadratic optima control, Potriagin minimum principle. 7. Time optimal control, robust control methods. 8. Control in sliding modes. 9. Method of state variables aggregation.

Conditions for subject completion

Full-time form (validity from: 2017/2018 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 35  20
        Examination Examination 65  20
Mandatory attendence parzicipation: 2 tasks

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 2 Optional study plan
2019/2020 (N0714A270004) Mechatronics P English Ostrava 2 Choice-compulsory type B study plan
2018/2019 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 2 Optional study plan
2017/2018 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 2 Optional study plan
2016/2017 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 2 Optional study plan
2015/2016 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 2 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner