Control of Electric Machines

Learning Outcomes

  1. analyze an electric motor control system
  2. evaluate the performance of an electric motor control system
  3. design an electric motor control system

Forms of Teaching

Lectures

Lectures

Exercises

Audit exercises

Laboratory

Laboratory exercises

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 30 % 0 % 30 %
Mid Term Exam: Written 0 % 30 % 0 %
Final Exam: Written 0 % 30 %
Final Exam: Oral 10 %
Exam: Written 0 % 50 %
Exam: Oral 20 %
Comment:

All completed laboratory exercises are a requirement to pass the course.

Week by Week Schedule

  1. Reference frame theory, Induction Machine (IM) modeling concepts
  2. Reference frame theory, Principle of vector control and field orientation
  3. Space vector pulse width modulation (SVPWM), Rotor flux estimation models
  4. Stator and rotor resistance identification methods; Rotor time constant identification methods, Magnetizing curve identification methods, Determination of stator and rotor leakage inductance and leakage inductance factor
  5. Automatic identification routines at standstill and in rotation, Rotor position estimation methods
  6. Fundamentals of producing fast torque response, Optimum switching vector selection, Stator flux-linkage estimation
  7. Fundamentals of producing fast torque response, Optimum switching vector selection, Stator flux-linkage estimation
  8. Midterm exam
  9. Reference frame theory, PMSM modeling concepts
  10. Vector control of surface-mounted PMSM in constant torque and flux weakening regions
  11. Vector control of PMSM with interior magnets in constant torque and flux weakening regions
  12. Automatic identification routines at standstill and in rotation, Stator resistance identification methods, Rotor and stator inductances identification methods
  13. Rotor position estimation methods
  14. Direct torque control of PMSM, Direct torque control with SVPWM
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (2. semester)
Communication and Space Technologies (profile)
Free Elective Courses (2. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (2. semester)
Computer Engineering (profile)
Free Elective Courses (2. semester)
Computer Science (profile)
Free Elective Courses (2. semester)
Control Systems and Robotics (profile)
Free Elective Courses (2. semester)
Data Science (profile)
Free Elective Courses (2. semester)
Electrical Power Engineering (profile)
Free Elective Courses (2. semester)
Electric Machines, Drives and Automation (profile)
(2. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (2. semester)
Electronics (profile)
Free Elective Courses (2. semester)
Information and Communication Engineering (profile)
Free Elective Courses (2. semester)
Network Science (profile)
Free Elective Courses (2. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (2. semester)

Literature

Nguyen Phung Quang, Jörg-Andreas Dittrich (2008.), Vector Control of Three-Phase AC Machines, Springer Science & Business Media
Rubén Molina Llorente (2020.), Practical Control of Electric Machines, Springer Nature
Seung-Ki Sul (2011.), Control of Electric Machine Drive Systems, John Wiley & Sons
Ramu Krishnan (2017.), Permanent Magnet Synchronous and Brushless DC Motor Drives, CRC Press
Peter Vas (1998.), Sensorless Vector and Direct Torque Control, Oxford, [Eng.] ; New York : Oxford University Press

For students

General

ID 223701
  Summer semester
5 ECTS
L1 English Level
L1 e-Learning
45 Lectures
15 Exercises
26 Laboratory exercises

Grading System

87,5 Excellent
75 Very Good
62,5 Good
50 Acceptable