Course detail
Selected chaps from automatic control
FEKT-DAM1Acad. year: 2011/2012
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
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
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
Aims
modern control systems with elements of AI
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
- Programme EKT-PP Doctoral
branch PP-KAM , 1 year of study, winter semester, elective specialised
branch PP-SEE , 1 year of study, winter semester, elective specialised
branch DP-TEE , 1 year of study, winter semester, elective specialised
branch PP-TLI , 1 year of study, winter semester, elective specialised
branch PP-MET , 1 year of study, winter semester, elective specialised
branch PP-EST , 1 year of study, winter semester, elective specialised
branch PP-FEN , 1 year of study, winter semester, elective specialised
branch PP-MVE , 1 year of study, winter semester, elective specialised
branch PP-BEB , 1 year of study, winter semester, elective specialised - Programme EKT-PK Doctoral
branch PK-FEN , 1 year of study, winter semester, elective specialised
branch PK-MVE , 1 year of study, winter semester, elective specialised
branch PK-TEE , 1 year of study, winter semester, elective specialised
branch PK-TLI , 1 year of study, winter semester, elective specialised
branch PK-EST , 1 year of study, winter semester, elective specialised
branch PP-BEB , 1 year of study, winter semester, elective specialised
branch PK-KAM , 1 year of study, winter semester, elective specialised
branch PK-SEE , 1 year of study, winter semester, elective specialised
branch PK-MET , 1 year of study, winter semester, elective specialised - Programme EKT-PPA Doctoral
branch PP-FEN , 1 year of study, winter semester, elective specialised
branch PP-MVE , 1 year of study, winter semester, elective specialised
branch PP-BEB , 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
branch PP-TEE , 1 year of study, winter semester, elective specialised
branch PP-TLI , 1 year of study, winter semester, elective specialised
branch PP-MET , 1 year of study, winter semester, elective specialised
branch PP-KAM , 1 year of study, winter semester, elective specialised - Programme EKT-PKA Doctoral
branch PK-FEN , 1 year of study, winter semester, elective specialised
branch PK-MVE , 1 year of study, winter semester, elective specialised
branch PK-TEE , 1 year of study, winter semester, elective specialised
branch PK-TLI , 1 year of study, winter semester, elective specialised
branch PK-EST , 1 year of study, winter semester, elective specialised
branch PK-BEB , 1 year of study, winter semester, elective specialised
branch PK-KAM , 1 year of study, winter semester, elective specialised
branch PK-SEE , 1 year of study, winter semester, elective specialised
branch PK-MET , 1 year of study, winter semester, elective specialised
Type of course unit
Seminar
Teacher / Lecturer
Syllabus
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