ECTS - Dynamics of Electrical Machines

Dynamics of Electrical Machines (EE553) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Dynamics of Electrical Machines EE553 3 0 0 3 5
Pre-requisite Course(s)
Electromechanical Energy Conversion or any equivalent course
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice, Problem Solving, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Nuh ERDOĞAN
Course Assistants
Course Objectives • To provide an ability to establish necessary mathematical models for analysis, simulation and control of electrical machines • To have a broad understanding of the theory related to the dynamic behavior of electrical machines operating with electric power systems.
Course Learning Outcomes The students who succeeded in this course;
  • • Understand the basic concepts of magnetic circuits as applied to electric machines (1)
  • • Understand basic principles that govern electromechanical energy conversion (2)
  • • Learn the transformation of three-phase to two-phase axis model (3)
  • • Understand the dynamic behavior of transformers (4), (5)
  • • Describe the operation of dc motor drives to satisfy four-quadrant operation to meet mechanical load requirements (6), (7)
  • • Understand the dynamic behavior of synchronous generators (8), (9)
  • • Understand the basic principles of PMSM drives (10)
  • • Understand the dynamic behavior of induction motors (11), (12)
  • • Learn basic principles of single-phase induction motors (13)
  • • Learn speed control of induction motor drives (14)
  • • To implement dynamic simulations of Electrical Machines in MATLAB/SIMULINK (5), (7), (9), (12)
Course Content Magnetic circuits, MMF, flux distribution, induced voltage and torque, reference frame theory, Park equations, modeling of transformers, DC, induction, synchronous machines and PMSM, DC drive systems, synchronous generator transients, unbalanced conditions of induction machines, single-phase induction motors, solid-state induction motor drives.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basics of Electrical Machines Glance this week’s topics from the lecture
2 Electromechanical Energy Conversion Principles Review last week and Glance this week’s topics from the lecture
3 Reference Frame Theory Review last week and Glance this week’s topics from the lecture
4 Dynamic Mathematical Models of Transformers Review last week and Glance this week’s topics from the lecture
5 Transients of Transformers Review last week and Glance this week’s topics from the lecture
6 Dynamic mathematical models of Direct Current Machines Review last week and Glance this week’s topics from the lecture
7 Transients of DC Machines Review last week and Glance this week’s topics from the lecture
8 Dynamic Mathematical Models of Synchronous Machines Review last week and Glance this week’s topics from the lecture
9 Synchronous Machine Transients Review last week and Glance this week’s topics from the lecture
10 Permanent Magnet Synchronous Motors Review last week and Glance this week’s topics from the lecture
11 Dynamic Mathematical Models of Induction Machines Review last week and Glance this week’s topics from the lecture
12 Transients of Induction Machines Review last week and Glance this week’s topics from the lecture
13 Unbalanced Operation and Single-Phase Induction Machines Review last week and Glance this week’s topics from the lecture
14 Solid-State Induction Motor Drives Review last week and Glance this week’s topics from the lecture
15 Final examination period Review of topics
16 Final examination period Review of topics

Sources

Course Book 1. Paul C. Krause, Oleg Wasynczuk, and Scott D. Sudhoff, “Analysis of Electric Machinery and Drive Systems”, 3rd Ed., IEEE Press, 2002.
2. Chee-Mun Ong, "Dynamic Simulation of Electric Machinery Using MATLAB/SIMULINK", Prentice Hall PTR, (1998)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 12 20
Presentation - -
Project 3 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 30
Final Exam/Final Jury 1 20
Toplam 18 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems. X
2 Implementing long-term research and development studies in the major fields of Electrical and Electronics Engineering. X
3 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications. X
4 Graduating researchers active on innovation and entrepreneurship.
5 Ability to report and present research results effectively.
6 Increasing the performance on accessing information resources and on following recent developments in science and technology.
7 An understanding of professional and ethical responsibility.
8 Increasing the performance on effective communications in both Turkish and English.
9 Increasing the performance on project management.
10 Ability to work successfully at project teams in interdisciplinary fields.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 6 84
Presentation/Seminar Prepration
Project 3 10 30
Report
Homework Assignments 12 5 60
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 4 8
Prepration of Final Exams/Final Jury 1 5 5
Total Workload 229