Fundamentals of Electric Machine Control

Course Description

DC machines - operating principle, mathematical model. Speed control of DC machine by using AC/DC converter. Structure of the AC/DC converter, operating principle, energy flow direction. Cascade Control of DC Motor, controller tuning, technical and symmetrical optimum. Laboratory setup for control of DC motors. Induction machine - working principle, mathematical model. Speed control of induction motor by using frequency converter. Structure of the frequency converter, operating principle, energy flow direction. Open and closed loop V/f control, different V/f characteristics. Laboratory setup for control of induction machines. Digital and analog inputs, digital, relay and analog outputs, encoder interface. Specific functions of the industrial frequency converter. Individual work with the industrial frequency converter - commissioning, gain tuning of speed controller.

Learning Outcomes

  1. distinguish the types of electrical machines and their basic characteristics
  2. describe control structure for DC machine
  3. explain the basic principle of DC/DC converter
  4. explain the basics of DC motor speed control
  5. apply standard techniques for tuning current and speed controllers of DC motor
  6. describe V/f control structure for induction machine
  7. explain the basic principle of AC/DC/AC converter
  8. use industrial frequency converter for speed control of induction motor
  9. solve specific tasks regarding control of induction drive by adapting industrial frequency converter to address particular application

Forms of Teaching

Lectures

Classes are 2 hours per week and combine lectures and exercises. The weekly lecture load varies throughout the semester. The schedule of lectures for the entire semester will be announced in the introductory lecture.

Exercises

Classes are 2 hours per week and combine lectures and exercises. The weekly exercise load varies throughout the semester. The schedule of exercises for the entire semester will be announced in the introductory course.

Laboratory

The laboratory exercises will take place in 9 cycles, of which 7 cycles of the exercises will be in a laboratory environment and 2 cycles of the exercises will be in MATLAB. In the laboratory exercises, each student works independently on a laboratory model.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 40 % 0 % 40 %
Mid Term Exam: Written 0 % 20 % 0 %
Final Exam: Written 0 % 20 %
Final Exam: Oral 20 %
Exam: Written 50 % 30 %
Exam: Oral 30 %
Comment:

In order to pass the course students are required to do all laboratory exercises.

Week by Week Schedule

  1. Mathematical model of DC Machine; Three-phase controlled rectifier
  2. Mathematical model of DC Machine; Three-phase controlled rectifier
  3. Armature and field control of separately excited DC Machines
  4. Armature and field control of separately excited DC Machines
  5. Cascade Control of DC Motor; Technical and symmetrical optimum; ITE, ITSE analysis
  6. Cascade Control of DC Motor; Technical and symmetrical optimum; ITE, ITSE analysis
  7. Visit
  8. Midterm exam
  9. Steady state mathematical model of Induction Machine; V/f control principles
  10. Steady state mathematical model of Induction Machine; V/f control principles
  11. AC/AC converters; Modulation techniques for AC/AC converters used in V/f control
  12. AC/AC converters; Modulation techniques for AC/AC converters used in V/f control
  13. V/f control of Induction Machine with and without speed sensor; Current limiter.
  14. V/f control of Induction Machine with and without speed sensor; Current limiter
  15. Final exam

Study Programmes

University undergraduate
[FER3-HR] Computing - study
Elective Courses (6. semester)
[FER3-HR] Electrical Engineering and Information Technology - study
Elective Courses (6. semester)

Literature

Jens Weidauer (2013.), Električna pogonska tehnika, Graphis
Werner Leonhard (2001.), Control of Electrical Drives, Springer

Lecturers

Prof.
Damir Sumina
Assoc. Prof.
Igor Erceg
Asst. Prof.
Martina Kutija

Exercises

Luka Pravica
mag. ing.

Laboratory exercises

Filip Jukić
PhD
Ivana Zagorščak
mag. ing.
Asst. Prof.
Martina Kutija
Luka Pravica
mag. ing.

For students

General

ID 183462
  Summer semester
5 ECTS
L1 English Level
L2 e-Learning
15 Lectures
0 Seminar
15 Exercises
38 Laboratory exercises
0 Project laboratory

Grading System

90 Excellent
75 Very Good
60 Good
50 Acceptable

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