Course: Automatic control of electric drives

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Course title Automatic control of electric drives
Course code KEV/ARPO
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction Czech, English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Talla Jakub, Doc. Ing. Ph.D.
  • Pittermann Martin, Doc. Ing. Ph.D.
  • Peroutka Zdeněk, Prof. Ing. Ph.D.
  • Janouš Štěpán, Ing. Ph.D.
  • Šmídl Václav, Prof. Ing. Ph.D.
Course content
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

Learning activities and teaching methods
Laboratory work, Lecture
  • Preparation for an examination (30-60) - 40 hours per semester
  • Team project (50/number of students) - 25 hours per semester
  • Presentation preparation (report) (1-10) - 10 hours per semester
  • Contact hours - 52 hours per semester
  • Practical training (number of hours) - 26 hours per semester
prerequisite
Knowledge
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
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
N/A
N/A
learning outcomes
Knowledge
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
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
N/A
N/A
používá moderní měřící techniku a debugovací nástroje a je schopen validovat komplexní řídící algoritmy
teaching methods
Knowledge
Lecture
Laboratory work
Multimedia supported teaching
Project-based instruction
Skills
Lecture
Laboratory work
Multimedia supported teaching
Project-based instruction
Individual study
Competences
Project-based instruction
Individual study
assessment methods
Knowledge
Combined exam
Skills demonstration during practicum
Project
Skills
Combined exam
Skills demonstration during practicum
Project
Competences
Project
Recommended literature
  • Toliyat, Hamid A.; Campbell, Steven. DSP-Based electromechanical motion control. Boca Raton : CRC Press, 2004. ISBN 0-8493-1918-8.
  • Zeman, Karel; Peroutka, Zdeněk; Janda, Martin. Automatická regulace pohonů s asynchronními motory. 1. vyd. Plzeň : Západočeská univerzita, 2004. ISBN 80-7043-350-7.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester