Control of Electric Machines
Data is displayed for academic year: 2023./2024.
Lectures
Exercises
Laboratory exercises
Course Description
Types and basic characteristics of regulated electric motor drives. Dynamic models of asynchronous and synchronous motors. AC motor control. Pulse width, vector and scalar modulation. Scalar and vector control of AC motors. Speed and torque control systems. Control system parameter estimation.
Study Programmes
University graduate
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[FER3-HR] Computer Science - profile
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[FER3-HR] Control Systems and Robotics - profile
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[FER3-HR] Data Science - profile
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[FER3-HR] Electrical Power Engineering - profile
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[FER3-HR] Electric Machines, Drives and Automation - profile
(2. semester)
[FER3-HR] Electronic and Computer Engineering - profile
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(2. semester)
[FER3-HR] Electronics - profile
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[FER3-HR] Information and Communication Engineering - profile
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[FER3-HR] Network Science - profile
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[FER3-HR] Software Engineering and Information Systems - profile
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(2. semester)
Learning Outcomes
- analyze an electric motor control system
- evaluate the performance of an electric motor control system
- design an electric motor control system
Forms of Teaching
Lectures
Lectures
ExercisesAudit exercises
LaboratoryLaboratory 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
- Reference frame theory, Induction Machine (IM) modeling concepts
- Reference frame theory, Principle of vector control and field orientation
- Space vector pulse width modulation (SVPWM), Rotor flux estimation models
- 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
- Automatic identification routines at standstill and in rotation, Rotor position estimation methods
- Fundamentals of producing fast torque response, Optimum switching vector selection, Stator flux-linkage estimation
- Fundamentals of producing fast torque response, Optimum switching vector selection, Stator flux-linkage estimation
- Midterm exam
- Reference frame theory, PMSM modeling concepts
- Vector control of surface-mounted PMSM in constant torque and flux weakening regions
- Vector control of PMSM with interior magnets in constant torque and flux weakening regions
- Automatic identification routines at standstill and in rotation, Stator resistance identification methods, Rotor and stator inductances identification methods
- Rotor position estimation methods
- Direct torque control of PMSM, Direct torque control with SVPWM
- Final exam
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
0 Seminar
15 Exercises
26 Laboratory exercises
0 Project laboratory
0 Physical education excercises
Grading System
87,5 Excellent
75 Very Good
62,5 Good
50 Sufficient