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Course info
KKY / PS
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Course description
Department/Unit / Abbreviation
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KKY
/
PS
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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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Industrial Control Systems
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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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0 / -
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0 / -
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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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4 / -
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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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Winter semester
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Semester taught
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Winter 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 or KKY/ZKY
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Courses depending on this Course
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KKY/MTR
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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The aim of the course is to acquaint students with standard and advanced methods of designing process and machine control systems.
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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. The architecture of industrial control systems - introduction and examples.
2. Mathematical models of industrial processes in time and frequency domain.
3. Experimental identification of industrial processes in open and closed loop (frequency domain approach).
4. Simple feedback loop, engineering requirements on performance of control loop.
5. Relay controller, conditions of existence of limit cycles and sliding mode regimes.
6. Controller with sliding mode. Design based on state or output feedback.
7. PID controller and its modification and extension.
8. Introduction to the automatic tuning of simple controllers.
9. Control structures. Cascade control, ratio control, selector control, split range control.
10. State controller with observer: design and applications.
11. Robust control, design of robust controllers with limited structures.
12. Predictive control.
13. Introduction to motion control of machines and manipulators.
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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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-
Basic:
Přednášky předmětu " Průmyslové řídicí systémy"
(Miloš Schlegel)
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Recommended:
?ström, Karl J.; Wittenmark, Björn. Computer-controlled systems : theory and design. 3rd ed. Upper Saddle River : Prentice Hall, 1997. ISBN 0-13-314899-8.
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Recommended:
Goodwin, Graham Clifford; Graebe, Stefan F.; Salgado, Mario E. Control system design. Upper Saddle River : Prentice Hall, 2001. ISBN 0-13-958653-9.
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Recommended:
?ström, Karl J.; Hägglund, Tore. PID controllers. 2nd ed. Research Triangle Park : ISA-The Instrumentation, Systems and Automation Society, 1995. ISBN 1-55617-516-7.
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Recommended:
Maciejowski, J. M. Predictive control : with constraints. 1st pub. Harlow : Prentice Hall, 2002. ISBN 0-201-39823-0.
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Recommended:
Shinskey, F. G. Proces Control Systems: Application, Design and Adjustment. McGraw-Hill Book Company, 1988.
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On-line library catalogues
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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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Graduate study programme term essay (40-50)
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50
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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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40
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Preparation for formative assessments (2-20)
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8
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Total
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163
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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 z matematické analýzy, lineární algebry, lineárních obyčejných diferenciálních rovnic a lineární teorie řízení dynamických systémů |
disponovat základními znalostmi z fyziky |
disponovat základními znalostmi z matematického modelování a simulace dynamických systémů |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
samostatně analyzovat vlastnosti lineárních časově invariantních systémů |
vytvářet modely jednoduchých systémů automatického řízení |
aktivně používat software MATLAB / Simulink |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
popsat základní přístupy k návrhu řídicících systémů strojů a procesů |
popsat základní strategie řízení užívané v řízení technologických procesů |
popsat základní strategie řízení užívané v řízení strojů, mechatronických a robotických systémů |
popsat základní principy PID regulace |
klasifikovat často užívané regulační struktury jako kaskádní, selektorová a poměrová regulace |
popsat základní principy prediktivního řízení |
Skills - skills resulting from the course: |
samostatně formulovat standardní úlohy automatického řízení strojů a procesů |
navrhovat a implementovat jednodušší strategie řízení strojů a procesů |
ladit parametry PID regulátorů na základě identifikačních experimentů pro statické a astatické lineární systémy |
navrhovat a implementovat metody řízení vícerozměrných sytémů |
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 |
Seminar work |
Skills demonstration during practicum |
Skills - skills achieved by taking this course are verified by the following means: |
Oral exam |
Skills demonstration during practicum |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Oral exam |
Individual presentation at a seminar |
Seminar work |
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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 |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Lecture with visual aids |
Practicum |
Task-based study method |
Laboratory work |
Competences - the following training methods are used to achieve the required competences: |
Interactive lecture |
Task-based study method |
Students' portfolio |
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