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ET8305 - Modeling, Identification and Control of Electrical Machines

About

Examination arrangement

Examination arrangement: Assignment and written examination
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
School exam 70/100 4 hours D
Assignment 30/100 A

Course content

Electric Motor Drives have an increased importance in the society of today. This is an enabling technology needed for utilizing renewables as wind power energy, as well as for environmental friendly transport on land and at sea. Due to reduced cost of power electronic devices, usually AC machines are used. In this course one will focus on multi-phase machines with 3, 6 and 9-phases, respectively. The type of machines are Synchronous-, Permanent Magnet- and Induction Machines. Methods for choice of transformed models are presented. The most commonly used flux models/observers are introduced. Parameter sensitivity and excitation signals are discussed in details. The increased degrees of freedom in inverters for multi-phase machines are presented. Identification, parameter estimation and state estimation is the main focus. Control methods as vector control, Direct Torque Control and Model Predictive Control are introduced.

Learning outcome

Knowledge: After completing the course, the student shall have detailed knowledge about modeling, identification and Control of electrical machines, and in addition knowledge about the state-of-art within research in this field of research. The student shall have obtained the knowledge to develop own models and identification methods Skills: After completing the course, the student shall be able to model the most commonly used electrical machine and identify parameteres for models needed for implementation of sensorless Control of such machines. The student shall be able to implement a sensorless Control for Electrical Machines.

Learning methods and activities

Lectures/study groups and Project with Laboratory exercise and/or numerical simulation.

Compulsory assignments

  • Exercises, Laboratory project

Specific conditions

Admission to a programme of study is required:
Electric Power Engineering (PHELKT)

Required previous knowledge

Admission to the Doctoral Program in Electrical Power Engineering is required to take this course. PhD-students from other doctoral programs can be enrolled in this course on request.

Course materials

Cource litterature: Roy Nilsen: Modeling,Identification and Control of Electrical Machines. Department of Electric Power Engineering. Recommended text books. Selected scientific papers and application notes.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Electrical Power Engineering
  • Electrical Power Engineering
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of electric energy

Timetable

List view
Calendar view

Examination

Examination arrangement: Assignment and written examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Assignment 30/100 A
Room Building Number of candidates
Autumn ORD School exam 70/100 D PAPIR
Room Building Number of candidates
Spring ORD Assignment 30/100 A
Room Building Number of candidates
Spring ORD School exam 70/100 D PAPIR
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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