Course Summary Course Objectives Learning Outcomes Course Materials Teaching Methods Weekly Topics Course Schedule Office Hours Assestment ECTS Calculation Course Policies Learning Tips Print Syllabi Download as PNG

EE430 Control of Electrical Drivers

Syllabus   |  International University of Sarajevo  -  Last Update on Mar 03, 2026

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Electrical and Electronics Engineering

Spring 2022 - 2023 | 6 ECTS Credits | International University of Sarajevo

Academic Year
2022 - 2023
Semester
Spring
Course Code
EE430
Weekly Hours
3 Teaching + 2 Practice
ECTS
6
Prerequisites
EE321
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Asif Šabanović

Course Lecturer

Position
Email
asabanovic@ius.edu.ba
Phone
033 957 232
Assistant(s)
-
Assistant E-mail
-

Course Objectives

This course is intended to provide fundamental treatment of a broad range of topics in electrical drives with an emphasis on their application. The presentation of the matter is based on a building-block presentation of the power converters used in modern drives supply, the introduction of the modern space vector theory as early as possible and using a physical basis in explanation of the electrical machines and the electrical drives operation. The mathematical treatment is kept as simple as practical in order to put emphasis on the underlying physical and topological principles. The emphasis will be put on applied concepts and generic solutions in the electrical drives control. The concepts will be discussed in the framework of SISO and MIMO systems. . The acquired knowledge will allow to addressing design and control issues of electrical drives

Learning Outcomes

After successful completion of the course, the student will be able to:

Course Materials

Required Textbook

"Ned Mohan, Electric Drives (An Integrated Approach), MNPRE Minneapolis, ISBN 0-9715292-5-6, 2003 Leonhard, Werner: Control of Electrical Drives. - Third edition./ Berlin; Heidelberg; New York; Barcelona; Hong Kong; London; Milan; Paris; Singapore; Tokyo: Springer 2001 (Power Systems) ISBN 3-540-41820-2 Asif Šabanović and Kouhei Ohnishi, Motion Control Systems, IEEE Press, John Willey & Sons (Asia) Pte Ltd, 2011, ISBN978-0-470-82573-0 V.I. Utkin, J. Guldner and J. Shi: Sliding Mode Control in Electromechanical Systems, CRC Press 2009, Print ISBN: 978-1-4200-6560-2, eBook ISBN: 978-1-4200-6561-9

Additional Literature
No additional literature

Teaching Methods

Class discussions with examples
Team project, supported by tutorial sessions for engaged learning and continuous feedback on progress

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Practical Information, Content of the Course Ch 1,2
2 System Modeling Fundamentals Handout (Šabanovic Ch 1)
3 System Control Fundamentals Handout (Šabanovic Ch 2)
4 Basics of Switch mode power electronics converters Ch 3,4
5 Loads and Operational Condirions of ED Ch 5,6
6 Basics of Switch mode power electronics converters in electrical drives Handout
7 Convertes Modeling & Dynamics MIDTERM EXAM Erickson Sec: 3.1-3.6, 7.1, Handout
8 Electronic switch and its realization Erickson Ch4 & Handout
9 Magnetic Circuits, Electromechanical Energy Conversion Ch 5,6, Erickson Ch7, Handout
10 DC Machine Dynamics and Control Ch 7,8, Handout
11 Topologies of DC to AC converters, AC machines and Space Vectors Ch9,11, Handout
12 Synchronous motor drives Ch10, Handout
13 Induction Motor Drives Speed Control Ch12, Handout
14 Vector Control in IM and synchronous drives Ch13, Handout
15 Answers to Students' Questions

Course Schedule (All Sections)

Course Schedules with all sections will be available here soon.

Office Hours & Room

DayTimeOfficeNotes
Tuesday 09:00 - 16:00 A G.5
Wednesday 09:00 - 14:00 A G.5

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes : 

30%x2
Homework
AI: Not Allowed

Alignment with Learning Outcomes : 

30%x1
Midterm
AI: Not Allowed

Alignment with Learning Outcomes : 

IUS Grading System

Grading Scale IUS Grading System IUS Coeff. Letter (B&H) Numerical (B&H)
0 - 44 F 0 F 5
45 - 54 E 1
55 - 64 C 2 E 6
65 - 69 C+ 2.3 D 7
70 -74 B- 2.7
75 - 79 B 3 C 8
80 - 84 B+ 3.3
85 - 94 A- 3.7 B 9
95 - 100 A 4 A 10

IUS Grading System

Letter marks that do not affect student's CGPA:
  • "IP" – In progress is assigned for recording unfulfilled student obligations related to graduation project/thesis/dissertation and internship.
  • "S" – Satisfactory is assigned to a student who passed the examinations that are not numerically graded or whose written assignment has been accepted.
  • "U" – Unsatisfactory is assigned to a student who failed to pass the examinations that are not numerically graded.
  • "W" – Withdrawal signifies that student has withdrawn from the relevant course.
Additional letter mark that affects student's CGPA:

"N/A" – Not attending, and it is assigned to a student who is suspended from the course or who does not meet the minimal requirement for attendance on lectures or tutorials. The course lecturer must follow the attendance policy and assign "N/A" in each case of a student failing attendance.

Late Work Policy

Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.

ECTS Credit Calculation

📚 Student Workload

This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture hours

42 hours ⏳ (14 week × 3 h)

Assignments

40 hours ⏳ (5 week × 8 h)

Home study

28 hours ⏳ (14 week × 2 h)

In-term exam study

20 hours ⏳ (1 week × 20 h)

Final exam study

20 hours ⏳ (1 week × 20 h)

150 Total Workload Hours

6 ECTS Credits


Course Policies

Academic Integrity

All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.

Attendance Policy

Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.

Technology & AI Policy

Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.

Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.

Communication Policy

All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [EE430] in the subject line.

Academic Quality Assurance Policy

Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.

More info

Article 112: Evaluation of Work of the Academic Staff

  1. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
  2. Evaluation of work of each academic staff member is to be carried out in accordance with the Statute of the institution of higher education by the institution as well as by students.
  3. The institutions of higher education are obliged to carry out a students’ evaluation survey on the academic staff performance after the end of each semester, or after the completed teaching cycle for the subject taught.
  4. Evaluation must evaluate: lecture quality, student-academic staff interaction, correctness of communication, teacher’s attitudes towards students attending the teaching activities and at assessments, availability of suggested reading material, attendance and punctuality of the teacher, along with other criteria which are defined in the Statute.
  5. The institution of higher education by a specific act determines the procedure for evaluation of the academic staff performance, the content of survey forms, the manner of conducting the evaluation, grading criteria for the evaluation, as well as adequate measures for the academic staff who received negative evaluation for two consecutive years.
  6. The evaluation of the academic staff performance is an integral process of establishment the quality assurance system, or self-control and internal quality assurance.
  7. Results of the evaluation of the academic staff performance are to be adequately analyzed by the institution of higher education, and the decision of the head of the organizational unit about the employee’s work performance is an integral part of the personal file of each member of academic staff.

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.

Think Critically in Assignments

Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.

Ask Questions Early

Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.

Course Academic Quality Assurance: Semester Student Survey

Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo

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Referencing Curricula Print this page

Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
EE430 Control of Electrical Drivers 3 2 6 Tue 12:00-14:50
Prerequisite EE321 It is a prerequisite to -
Lecturer Asif Šabanović Office Hours / Room / Phone
Tuesday:
9:00-16:00
Wednesday:
9:00-14:00
A G.5 - 033 957 232
E-mail asabanovic@ius.edu.ba
Assistant Assistant E-mail
Course Objectives This course is intended to provide fundamental treatment of a broad range of topics in electrical drives with an emphasis on their application. The presentation of the matter is based on a building-block presentation of the power converters used in modern drives supply, the introduction of the modern space vector theory as early as possible and using a physical basis in explanation of the electrical machines and the electrical drives operation. The mathematical treatment is kept as simple as practical in order to put emphasis on the underlying physical and topological principles. The emphasis will be put on applied concepts and generic solutions in the electrical drives control. The concepts will be discussed in the framework of SISO and MIMO systems. . The acquired knowledge will allow to addressing design and control issues of electrical drives
Textbook "Ned Mohan, Electric Drives (An Integrated Approach), MNPRE Minneapolis, ISBN 0-9715292-5-6, 2003 Leonhard, Werner: Control of Electrical Drives. - Third edition./ Berlin; Heidelberg; New York; Barcelona; Hong Kong; London; Milan; Paris; Singapore; Tokyo: Springer 2001 (Power Systems) ISBN 3-540-41820-2 Asif Šabanović and Kouhei Ohnishi, Motion Control Systems, IEEE Press, John Willey & Sons (Asia) Pte Ltd, 2011, ISBN978-0-470-82573-0 V.I. Utkin, J. Guldner and J. Shi: Sliding Mode Control in Electromechanical Systems, CRC Press 2009, Print ISBN: 978-1-4200-6560-2, eBook ISBN: 978-1-4200-6561-9
Additional Literature
  • No additional literature
Learning Outcomes After successful  completion of the course, the student will be able to:
    Teaching Methods Class discussions with examples. Team project, supported by tutorial sessions for engaged learning and continuous feedback on progress.
    Teaching Method Delivery Face-to-face Teaching Method Delivery Notes
    WEEK TOPIC REFERENCE
    Week 1 Practical Information, Content of the Course Ch 1,2
    Week 2 System Modeling Fundamentals Handout (Šabanovic Ch 1)
    Week 3 System Control Fundamentals Handout (Šabanovic Ch 2)
    Week 4 Basics of Switch mode power electronics converters Ch 3,4
    Week 5 Loads and Operational Condirions of ED Ch 5,6
    Week 6 Basics of Switch mode power electronics converters in electrical drives Handout
    Week 7 Convertes Modeling & Dynamics MIDTERM EXAM Erickson Sec: 3.1-3.6, 7.1, Handout
    Week 8 Electronic switch and its realization Erickson Ch4 & Handout
    Week 9 Magnetic Circuits, Electromechanical Energy Conversion Ch 5,6, Erickson Ch7, Handout
    Week 10 DC Machine Dynamics and Control Ch 7,8, Handout
    Week 11 Topologies of DC to AC converters, AC machines and Space Vectors Ch9,11, Handout
    Week 12 Synchronous motor drives Ch10, Handout
    Week 13 Induction Motor Drives Speed Control Ch12, Handout
    Week 14 Vector Control in IM and synchronous drives Ch13, Handout
    Week 15 Answers to Students' Questions
    Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs AI Usage
    Final Exam 1 40 Not Allowed
    Semester Evaluation Components
    Homework 2 30 Not Allowed
    Midterm 1 30 Not Allowed
    ***     ECTS Credit Calculation     ***
     Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
    Lecture hours 3 14 42 Assignments 8 5 40
    Home study 2 14 28 In-term exam study 20 1 20
    Final exam study 20 1 20
            Total Workload Hours = 150
    *T= Teaching, P= Practice ECTS Credit = 6
    Course Academic Quality Assurance: Semester Student Survey Last Update Date: 27/03/2026

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