Course detail

Control Theory I

FSI-GT1Acad. year: 2018/2019

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.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Jiří Kovář, Ph.D.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

Learning outcomes of the course unit

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.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

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.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

There are only 13 lectures. Attendance is recommended.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BARTELT, Terry L. M. Industrial automated systems: instrumentation and motion control. Clifton Park, NY: Delmar/Cengage Learning, c2011. ISBN 978-1435488885. (EN)
DOYLE, John Comstock., Bruce A. FRANCIS a Allen TANNENBAUM. Automatic control systems. 10th edition. ISBN 978-0486469331. (EN)
FRANKLIN, Gene F., J. David POWELL a Abbas EMAMI-NAEINI. Feedback control of dynamic systems. Seventh edition. Boston: Pearson, 2015. ISBN 978-0133496598. (EN)
KIRK, Donald E. Optimal control theory: an introduction. Mineola, N.Y.: Dover Publications, 2004. ISBN 978-0486434841. (EN)
NISE, Norman S. Control systems engineering. Seventh edition. ISBN 978-1118170519. (EN)
OGATA, Katsuhiko. Discrete-time control systems. 2nd ed. Englewood Cliffs, N.J.: Prentice Hall, c1995. ISBN 978-0130342812. (EN)
OGATA, Katsuhiko. Modern control engineering. 5th ed. Boston: Prentice-Hall, c2010. ISBN 978-0136156734. (EN)
SKALICKÝ, Jiří. Control theory. Brno: Akademické nakladatelství CERM, 2005. ISBN 80-720-4421-4.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-VSR , 1 year of study, winter semester, elective (voluntary)
    branch M-VSR , 1 year of study, winter semester, elective (voluntary)

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Jiří Kovář, Ph.D.

Syllabus

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.