course-details-portlet

TET4210

Modelling and Analysis of Electric Machines

Credits 7.5
Level Second degree level
Course start Autumn 2025
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

In this course, mathematical models of electrical machines are developed. The most common alternating current machines, synchronous and asynchronous machines, are treated thoroughly. The mathematical models are used in stationary and dynamic analysis of their behavior in power grids, industrial applications and motor drives. The models that are developed are based on classic 2-axis theory. Different variants of the models are developed and demonstrated for different areas of use. Simulation models are used for this purpose in in both lectures and exercises.The course further deals with the physical origin of the parameters included in the models. How these can be manipulated by design is dealt with to some extent. The course also describes factors that determine the load capacity of the machines.

Learning outcome

Knowledge: After the course, the candidate should know the various static and dynamic models of the synchronous and asynchronous machine. The student must also be able to chosse a model with sufficient accuracy, depending on the application. The candidate must also know the machine's static and dynamic properties and behavior in various application. After completing the course, the candidate must know which physical parameters limit the capability of the machines. Skills: The candidate must be able to explain the various models and the most important dynamic phenomena in the machines that the models describe. The candidate must also be able to use these for various types of analyzes and in simulation in programs such as Python. The candidate should be able to analyze known dynamic phenomena in the event of short-circuiting, start-up and load changes. Furthermore, the student must be able to use the models for controlling the machines. General competence:

Learning methods and activities

The teaching is given using lectures and exercises. The lecture contains small exercises that students solve either analytically or using Python. Results are discussed at commented in the class.

The exercises include programming using Python. The programmed machine models are then used in simulations. There are normally 5 larger exercises in the course semester. The students work in groups of 2.

Compulsory assignments

  • Exercises

Further on evaluation

If there is a re-sit exam, the exam form may be changed to oral. The re-sit is in August.

Course materials

Textbook: Paul Krause et. al.: "Analysis of Electric Machines and Drive Systems". 3rd Edition. ISBN 978-1-118-02429-4.

The book is available digitally and NTNU Library.

Subject areas

  • Electrical Power Engineering
  • Electrical Power Engineering
  • MSc-level Engineering and Architecture
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Electric Energy

Examination

Examination

Examination arrangement: School exam
Grade: Letter grades

Ordinary examination - Autumn 2025

School exam
Weighting 100/100 Examination aids Code H Date 2025-11-29 Time 09:00 Duration 4 hours Exam system Inspera Assessment
Place and room for school exam

The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.

Sluppenvegen 14
Room SL311 orange sone
6 candidates
Room SL110 hvit sone
7 candidates
Room SL310 lilla sone
10 candidates

Re-sit examination - Summer 2026

School exam
Weighting 100/100 Examination aids Code H Duration 4 hours Exam system Inspera Assessment Place and room Not specified yet.