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Course detail

Selected chaps from automatic control

Course unit code: FEKT-DAM1A
Academic year: 2017/2018
Type of course unit: optional specialized
Level of course unit: Doctoral (3rd cycle)
Year of study: 1
Semester: winter
Number of ECTS credits:
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.
Course contents (annotation):
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.
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
Specification of controlled education, way of implementation and compensation for absences:
Not applicable.

Type of course unit:

Seminar: 39 hours, optionally
Teacher / Lecturer: prof. Ing. Petr Pivoňka, CSc.

The study programmes with the given course