Course detail

Selected chaps from automatic control

FEKT-DAM1AOptional specializedDoctoral (3rd cycle)Acad. year: 2017/2018Winter semester1. year of study4  credits

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.

Learning outcomes of the course unit

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

Mode of delivery

90 % face-to-face, 10 % distance learning

Prerequisites

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

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

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).

Language of instruction

English

Work placements

Not applicable.

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

Aims

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

Type of course unit

 

Seminar

39 hours, optionally

Teacher / Lecturer