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EJ2230 Control in Electrical Energy Conversion 6.0 credits

Aim of the course is to give the students ability to design and analyse control systems for electrical energy conversion. The course focuses primarily on control of voltage-source converters, both in electrical machine drives and connected to the grid.

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Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.


For course offering

Spring 2025 Start 14 Jan 2025 programme students

Application code


Headings with content from the Course syllabus EJ2230 (Spring 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Summary of Laplace and Zeta transform, linear systems, three-phase systems, digital systems.
  • Theory of Clarke- and Park transformations in n-phase systems.
  • Electrical machine models, dynamics and operational regions without feedback.
  • General principles of field-oriented control and flux weakening.
  • Sensors for current -, speed and position feedback, inverter and their non-linearities.
  • Estimate of magnetic flux linkage for control purpose.
  • Tuning of controllers.
  • Model-based sensorless algorithms.
  • Sensorless algorithms with high-frequency voltage injection.
  • Sensitivity analysis applied on vector control.
  • Reference values for loss minimisation or improvement of performance.
  • Direct torque control and predictive control applied to drive systems.

Intended learning outcomes

After passing the course, the student should be able to:

  • design and apply models for the electric energy conversion process, especially models for electrical machines and loads,
  • apply the different time scales for the key variables in the electric energy conversion process,
  • formulate closed-loop control systems with appropriate control methods and parameters that minimise electricity losses for different electrical machines,
  • analyse stability and sensitivity of various control methods,
  • apply the different principles of estimation of variables that cannot be measured directly and the importance of estimation with regard to the performance of the system

in order to be able to design and analyse control systems for electric energy conversion,

Literature and preparations

Specific prerequisites

  • Knowledge in electric machines and drive systems, 6 higher education credits, equivalent completed course EJ2201.
  • Knowledge in power electronics, 6 higher education credits, equivalent completed course EJ2301.

Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • PROA - Project assignment, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • PROB - Project assignment, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Electrical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Transitional regulations

The earlier examining items were PRO1 (2 higher education credits) and TEN1 (4 higher education credits).

Students who passed TEN1 but not PRO1 can contact the examiner to obtain a new project task that replaced PRO1. Students who did not pass any of the above should make the re-examination.

Supplementary information

In this course, the EECS code of honor applies, see: