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Course info
KEV / ARPO
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Course description
Department/Unit / Abbreviation
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KEV
/
ARPO
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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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Automatic control of electric drives
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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
4
[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, English
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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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6 / -
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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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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, English
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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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N/A
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Courses depending on this Course
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KEV/SNEP, KEV/SNRVM
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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 this course is to provide the students with skills from advanced control of electric drives and power electronics converters. The students will learn how to design the digital control algorithm of drives resistant to noise and parameter/model mismatch, control with optimal efficiency etc.
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Requirements on student
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Inclusion: Participation on laboratory classes and active knowledge of topics introduced during classes. Semestral project. Test.
Exam: Combined - input test (at least 50% points, no question must be answered with zero points) + face-to-face/practical exam.
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Content
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1) Digital control of electric drives based on frequency analyses and PID control
2) Digital signal processing in electric drives
3) Finite control set model predictive control
4) State space control of drives
5) Identification of drive parameters and states
6) Linear Kalman filter and extended Kalman filter
7) Control and identification algorithms of electric drives with induction motors
8) Control and identification algorithms of electric drives with synchronous motors
9) Control and identification algorithms of electric drives with BLDC, synchronous and switched reluctance motors
10) High power electric drives and other special drives
11) The master control loop of the drives 1
12) The master control loop of the drives 2
13) Artificial intelligence and other new trends in electric drives control
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Activities
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Fields of study
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Guarantors and lecturers
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-
Guarantors:
Doc. Ing. Jakub Talla, Ph.D. ,
-
Lecturer:
Ing. Štěpán Janouš, Ph.D. (100%),
Prof. Ing. Zdeněk Peroutka, Ph.D. (8%),
Doc. Ing. Martin Pittermann, Ph.D. (8%),
Prof. Ing. Václav Šmídl, Ph.D. (27%),
Doc. Ing. Jakub Talla, Ph.D. (57%),
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Tutorial lecturer:
Ing. Štěpán Janouš, Ph.D. (30%),
Doc. Ing. Martin Pittermann, Ph.D. (20%),
Prof. Ing. Václav Šmídl, Ph.D. (8%),
Doc. Ing. Jakub Talla, Ph.D. (42%),
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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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Preparation for an examination (30-60)
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40
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Team project (50/number of students)
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25
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Practical training (number of hours)
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26
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Contact hours
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52
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Presentation preparation (report) (1-10)
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10
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Total
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153
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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: |
use basic knowledge of control theory |
use knowledge of the theory of electric motors |
use basic knowledge of power electronics |
use basic knowledge of electric drives |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
use C programming language |
use tools for simulations, especially MATLAB |
are able to explain the basic function of power electronics converters |
are able to explain the function of induction and synchronous motors |
use PID controllers and basic control theory |
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: |
describe mathematically components of electric drives and motors |
design simulation models of power converters and electric drives |
able to analyze the model of electric drives by transfer functions and frequency characteristics |
able to analyze electric drives by state space representation |
Skills - skills resulting from the course: |
design the control algorithm of electric drives with induction motor |
design the control algorithm of electric drives with synchronous motor |
design the control algorithm of electric drives with BLDC motor |
design the control algorithm of electric drives with synchronous and switched reluctance motor |
design the outer control loop of electric drive |
analyze a signal spectra and design basic digital filters |
Competences - competences resulting from the course: |
N/A |
N/A |
používá moderní měřící techniku a debugovací nástroje a je schopen validovat komplexní řídící algoritmy |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Skills demonstration during practicum |
Project |
Skills - skills achieved by taking this course are verified by the following means: |
Combined exam |
Skills demonstration during practicum |
Project |
Competences - competence achieved by taking this course are verified by the following means: |
Project |
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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 |
Multimedia supported teaching |
Project-based instruction |
Skills - the following training methods are used to achieve the required skills: |
Lecture |
Laboratory work |
Multimedia supported teaching |
Project-based instruction |
Individual study |
Competences - the following training methods are used to achieve the required competences: |
Project-based instruction |
Individual study |
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