Course detail

Selected chaps from automatic control

FEKT-DAM1AAcad. year: 2020/2021

Selected problems of design, realization and testing of control algorithms. PID and PSD controllers as basic controllers. Tuning of industrial controllers. Adaptive and self-tuning controllers. Adaptive controllers based on discrete identification. Typycal problems of adaptive control. Intelligent controllers. Optimal and predictive control. Control of robots and electrical drives.

Language of instruction

English

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

prof. Ing. Petr Pivoňka, CSc.

Department

Department of Control and Instrumentation (UAMT)

Learning outcomes of the course unit

The graduate should be able to design and tune sophisticated control systems with elements of AI

Prerequisites

Principle of continuous control theory. Principle of discrete control theory. State control.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Elaboration of 2-3 projects (30 points). Final exam(70 points).

Course curriculum

1. Physical principles of control
2. PID and PSD controllers as the basic controllers for comparative analysis
3.-4. Alternative algorithms of feedback control
5. Specific problems of adaptive control
6. State variable control as the basis of optimal and adaptive control
7. AI and its use in control
8.-9. Control of robots
10. Sensorless control of electrical motors
11. Observability of non-linear dynamical systems

Work placements

Not applicable.

Aims

Critical evaluation of most frequently used design methods of controllers. Implementation of
modern control systems with elements of AI

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

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EKT-PKA Doctoral

    branch PK-EST , 1 year of study, winter semester, elective specialised
    branch PK-TLI , 1 year of study, winter semester, elective specialised
    branch PK-KAM , 1 year of study, winter semester, elective specialised
    branch PK-BEB , 1 year of study, winter semester, elective specialised
    branch PK-TEE , 1 year of study, winter semester, elective specialised
    branch PK-MET , 1 year of study, winter semester, elective specialised
    branch PK-MVE , 1 year of study, winter semester, elective specialised
    branch PK-FEN , 1 year of study, winter semester, elective specialised
    branch PK-SEE , 1 year of study, winter semester, elective specialised

  • Programme EKT-PPA Doctoral

    branch PP-BEB , 1 year of study, winter semester, elective specialised
    branch PP-MET , 1 year of study, winter semester, elective specialised
    branch PP-MVE , 1 year of study, winter semester, elective specialised
    branch PP-TLI , 1 year of study, winter semester, elective specialised
    branch PP-FEN , 1 year of study, winter semester, elective specialised
    branch PP-KAM , 1 year of study, winter semester, elective specialised
    branch PP-TEE , 1 year of study, winter semester, elective specialised
    branch PP-EST , 1 year of study, winter semester, elective specialised
    branch PP-SEE , 1 year of study, winter semester, elective specialised

Type of course unit

 

Seminar

39 hod., optionally

Teacher / Lecturer

prof. Ing. Petr Pivoňka, CSc.

Syllabus

1. Physical principles of control
2. PID and PSD controllers as the basic controllers for comparative analysis
3.-4. Alternative algorithms of feedback control
5. Specific problems of adaptive control
6. State variable control as the basis of optimal and adaptive control
7. AI and its use in control
8.-9. Control of robots
10. Sensorless control of electrical motors
11. Observability of non-linear dynamical systems