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Course info
KKY / NŘS
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Course description
Department/Unit / Abbreviation
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KKY
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NŘS
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Control System Design
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
3
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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1 / -
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15 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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KKY/LS1 and KKY/LS2 and KKY/SM and KKY/MATL and KKY/SIMUL
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Courses depending on this Course
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KKY/MTR, KME/SZDKM
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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This course explores the basic design methods of linear control systems. The main aims of the course are the following: to provide comprehensive, yet understandable introduction to the part of automatic control theory that has strong applicability; to explain fundamental possibilities and limitations of linear feedback; to explain different approaches to design of fixed structure controllers; to illustrate the design methods presented in the course in examples from praxis.
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Requirements on student
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To obtain the credit an inspection test and elaboration of seminar work are required.
For the final exam, the understanding and ability to apply the course topics are required.
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Content
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1. Introduction to the principles of feedback control (historical periods of control theory, simple forms of feedback, technology change and knowledge transfer)
2. Models of controlled systems (simple process models, LTI models, fractional order models, model set, models for sampled-date systems)
3. Classical control system design (relay feedback, Nyquist stability theorem, robust stability, loopshaping, root locus)
4. Fundamental limitations in SISO control (sensor and actuator limitations, model-error limitation, disturbances, structural limitations, Bode's integral constraints, pole placement paradox)
5. PID control (PID controller, filtering the derivative, set-point weighting, integral windup)
6. Feedforward design (system inverses, approximate inverses, set-point weighting, pulse step control)
7. Design of simple controllers (rule base empirical tuning, Q-parameterization, robust regions method, design of robust controllers {PI, PID, PD, lead-lag, Smith predictor}, pidlab.com)
8. Automatic tuning of PID controller (robust moment autotuner, robust relay autotuner)
9. Control paradigms (bottom-up and top-down approaches, repetitive control, cascade control, selector control, ratio control, split range control, center seeking control)
10. Sliding mode control
11. Model based predictive control with constraints
12. Control system design for MIMO systems (internal model principle, active damping of vibration)
13. Examples of control system design for industrial processes
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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39
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Practical training (number of hours)
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26
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Preparation for an examination (30-60)
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50
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Preparation for formative assessments (2-20)
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20
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Undergraduate study programme term essay (20-40)
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30
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Total
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165
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
disponovat základními znalostmi matematické analýzy |
disponovat základními znalostmi lineární algebry |
disponovat základními znalostmi matematického modelování dynamických systémů |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
aplikovat základní pojmy a metody matematické analýzy |
aplikovat základní pojmy a metody lineární algebry |
aplikovat Fourierovu a Laplaceovu transformaci |
navrhovat nejjednodušší modely reálných soustav |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
disponovat nejzákladnějšími znalostmi metod návrhu strategií řízení dynamických soustav |
disponovat základními znalostmi klasické regulace soustav s jedním vstupem a jedním výstupem |
disponovat nejzákladnějšími metodami pokročilého řízení dynamických systémů |
Skills - skills resulting from the course: |
řešit jednoduché úlohy průmyslové regulace |
navrhovat pokročilé struktury vícerozměrných regulačních obvodů |
Competences - competences resulting from the course: |
N/A |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Test |
Individual presentation at a seminar |
Skills - skills achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
Skills demonstration during practicum |
Competences - competence achieved by taking this course are verified by the following means: |
Oral exam |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Laboratory work |
Task-based study method |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Lecture with visual aids |
Task-based study method |
Competences - the following training methods are used to achieve the required competences: |
Group discussion |
Lecture supplemented with a discussion |
Task-based study method |
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