Control Theory I (FSI-GT1)

Academic year 2018/2019
Supervisor: Ing. Jiří Kovář, Ph.D.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
The aim of this lecture is to lay theoretical foundations of control theory basics in therms for production machines control. Next aim is to clarify the basic elements of a feedback control methods that are used in technical practice.
Learning outcomes and competences:
Students will learn basic principles of feedback control theory, which is actively used in commercial control systems and will be able to understand the approaches used in technical practice of feedback control.
Prerequisites:
Knowledge of basic terminology in the field of automation. Orientation of differential integral calculus, differential equations included.

Knowledge of software Mathworks Matlab or Wolfram Mathematica.
Course contents:
This course provides an intruduction to the basics of contron theory. Topics cover theory of systems, identifiaction methods and basics of feedback control - mainly intruduction to used regulation structures, system stability a methods for parameter settings of regulator.
Teaching methods and criteria:
The course is formed and defined by thirteen lectures, which are to introduce basics of the discipline. According opportunities for students will be organized lectures practitioners and field trips to companies engaged in activities related to the course content.

An integral part of course study is an active studying of documents of the course in e-learning system.
Assesment methods and criteria linked to learning outcomes:
Examination: Combined - the examination has a written and an oral part. The examination tests the student’s knowledge and his/her ability of practical application.
Controlled participation in lessons:
There are only 13 lectures. Attendance is recommended.
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
Course curriculum:
    Lecture 1) Description of dynamic systems - transfer model, definition and characteristics. Introduction to system stability.
2) Analytical assembly of the dynamic systems from DE.
3) Identification of technical systems - introduction.
4) Identification of technical systems - common methods.
5) Identification of technical systems - a case study.
6) Structures of control loops, block diagrams.
7) Filters and regulators, their properties. Control quality.
8) System stability - Nyquist criterion etc.
9) PID controller (modifications) - design using the Ziegler-Nichols and root-locus methods.
10) PID controller and its modifications - parameters design method by using frequency response.
11) PID controller and its modifications - parameters design method by using optimization.
12) Extension of the control loop with PID controller.
13) Case study and discussion.
Literature - fundamental:
1. OGATA, Katsuhiko. Modern control engineering. 5th ed. Boston: Prentice-Hall, c2010. ISBN 978-0136156734.
2. OGATA, Katsuhiko. Discrete-time control systems. 2nd ed. Englewood Cliffs, N.J.: Prentice Hall, c1995. ISBN 978-0130342812.
3. NISE, Norman S. Control systems engineering. Seventh edition. ISBN 978-1118170519.
4. KIRK, Donald E. Optimal control theory: an introduction. Mineola, N.Y.: Dover Publications, 2004. ISBN 978-0486434841.
5. FRANKLIN, Gene F., J. David POWELL a Abbas EMAMI-NAEINI. Feedback control of dynamic systems. Seventh edition. Boston: Pearson, 2015. ISBN 978-0133496598.
6. BARTELT, Terry L. M. Industrial automated systems: instrumentation and motion control. Clifton Park, NY: Delmar/Cengage Learning, c2011. ISBN 978-1435488885.
7. SKALICKÝ, Jiří. Control theory. Brno: Akademické nakladatelství CERM, 2005. ISBN 80-720-4421-4.
8. DOYLE, John Comstock., Bruce A. FRANCIS a Allen TANNENBAUM. Automatic control systems. 10th edition. ISBN 978-0486469331.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2I-P full-time study M-VSR Production Machines, Systems and Robots P linked to branch B-SSZ Ex 4 Elective (voluntary) 2 1 W
M2I-P full-time study M-VSR Production Machines, Systems and Robots -- Ex 4 Elective (voluntary) 2 1 W