Course detail

Introduction to Cybernetics

FEKT-BPC-UKBAcad. year: 2023/2024

Introduction to the technical cybernetics.
The physical signals – kinds and ways of description.
Integration and derivation in view of signals, introduction to modelling.
Definition of the system, the system types and their properties (linearity, time-invariance, causality, etc.).
Systems – inputs/outputs, the ways of the systems description, energy accumulators and system order, examples of basic systems.
The system structures (serial, parallel, antiparallel), explanation of positive/negative feedback.
Stability of the systems, feedback use and the basic principle of automatic control, main types of the controllers (regulators).
Possibilities and types of control.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

Ing. Miroslav Jirgl, Ph.D.

Department

Department of Control and Instrumentation (UAMT)

Entry knowledge

The basic knowledge of mathematics, physics and electrical engineering at the level of the 1st year Bachelor studies.

Rules for evaluation and completion of the course

The final test – 100 points. The minimum 50 points is required for credit.
The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year. Participation at computer labs is compulsory.

Aims

The goal of this course is to provide an overview and explanation of the basic concepts and principles used in automation and cybernetics. Other goal is to demonstrate on the practical examples description of systems and signals in the time domain and frequency domain and to prepare the students for following course Signals and Systems. Furthermore, the course also aims showing and explanation of the relationships between the signals/systems and the knowledge obtained in other courses.
Absolvent is able to:
- describe basic signals by mathematic equations,
- define system and its basic properties (linearity, time-invariance, causality, etc.),
- distinguish between different kinds of systems and their structures,
- explain the terms system stability, system order and feedback,
- describe the basic principle of automatic control and enumerate several kinds of controllers (regulators),
- model and simulate simple systems using Matlab/Simulink.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

ROMPORTL Jan. Kapitoly z historie kybernetiky. Plzeň: Západočeská univerzita v Plzni 2013. 81 s. ISBN 978-80-261-0184-0 (CS)
ŠVARC, Ivan. Základy automatizace. Elektronické skriptum, Brno 2002. (CS)

Recommended reading

Not applicable.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme BPC-AMT Bachelor's 1 year of study, summer semester, compulsory

Type of course unit

 

Lecture

16 hod., optionally

Teacher / Lecturer

Ing. Miroslav Jirgl, Ph.D.

Syllabus

1. Úvod do technické kybernetiky.
2. Pojem „signál“ – definice, druhy fyzikálních signálů a jejich vlastnosti, A/D a D/A převod. Matematický popis základních druhů signálů. Význam derivace a integrace z pohledu signálů.
3. Signálové toky a základy modelování. Pojem „systém“ – definice, druhy systémů a jejich vlastnosti (linearita, časová invariance, kauzalita, apod.).
4. Statické a dynamické systémy. Stav systému, energie systému, akumulátory energie a řád systému. Stabilita systému. Příklady a ukázka jednoduchých systémů, analogie s RLC systémy.
5. Pojem „řízení“ – definice, druhy řízení, řízení z pohledu technické kybernetiky, příklady řízení.
6. Základní typy řízených soustav (procesů) a jejich vlastnosti, příklady reálných soustav.
7. Využití zpětné vazby a princip regulace. Základní typy regulátorů (PID, on-off, a další) a jejich použití.
8. Shrnutí a opakování učiva, ukázky reálné implementace řízení.

Exercise in computer lab

10 hod., compulsory

Teacher / Lecturer

Ing. Miroslav Jirgl, Ph.D.

Syllabus

9. Úvod do prostředí MATLAB/Simulink
10. Implementace jednoduchého modelu v prostředí Simulink.
11. Modelování a simulace základních systémů.
12. Ukázka implementace řízení.
13. Závěrečný test.

Elearning

eLearning: currently opened course