Electrical Drive Control

Faculty

Faculty of Engineering and Computer Science

Version

Version 1 of 26.02.2026.

Module identifier

11M1280

Module level

Master

Language of instruction

German

ECTS credit points and grading

5.0

Module frequency

only winter term

Duration

1 semester

 

 

Brief description

Electric drives play a crucial role as actuators in automation technology and as traction drives. The behavior of modern drives is largely influenced by the control methods used. Starting with classical concepts, modern techniques such as Direct Torque Control are also introduced. The individual components of an electric drive are systematically analyzed, and their dynamic behavior is modeled with MATLAB/Simulink. The interplay of these components is optimized using appropriate control methods.

Students who have successfully completed the module on Control of Electric Drives can select components for an electric drive and evaluate the various control methods in terms of their application-specific suitability.

Teaching and learning outcomes

  1. Control models for DC, synchronous and asynchronous machines
  2. Control models of converter circuits
  3. Control methods for DC drives
  4. Control methods for converter-fed asynchronous machines (stator flux-oriented DSR DTC)
  5. Control methods for converter-fed synchronous machines (rotor flux-oriented FOC)

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Workload hoursType of teachingMedia implementationConcretization
30LecturePresence-
15PracticePresence-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
90seminar paper-
15Preparation/follow-up for course work-
Graded examination
  • Homework / Assignment
Knowledge Broadening

Students who have successfully completed this module will be familiar with the basic structure and function of regulated electric drives and their components.

Knowledge deepening

Students who have successfully completed this module will be able to derive not only the steady-state behaviour but also the dynamic behaviour of electric drives and transfer them into models suitable for control tasks.

Knowledge Understanding

  • Upon completion of the module, students will be able to translate electrical drive concepts into models in order to select suitable control methods and optimise them using control engineering methods.
  • Students who have successfully completed the module Control of Electric Drives are familiar with electric drives throughout the entire chain, from the electrical network to the converter and motor to the load can assess the dynamic properties of individual components in terms of their significance for the system context are able to abstract from the details to the essentials in order to analytically understand and optimise the interaction of different system components.

Application and Transfer

Students who have completed the module on the control of electric drives will have learned how to apply the knowledge they have acquired in control engineering to specific issues in electric drive technology. This will enable them to design control approaches for drive technology tasks.

Communication and Cooperation

Upon completion of the module, students will be able to analyse, solve and document a problem in a team, present the results and discuss them with others.

Literature

  • Werner Leonhard: Regelung elektrischer Antriebe; Springer Verlag 2000
  • Felix Jenni, Dieter Wüest: Steuerverfahren für selbstgeführte Stromrichter; Teubner Verlag 1995
  • Peter Vas: Senserless vector and direct torque control; Oxford University Press 1998
  • Angermann, Beuschel, Rau, Wohlfarth: Matlab-Simulink-Stateflow; Oldenbourg Verlag 2016
  • Helmut Scherf: Modellbildung und Simulation dynamischer Systeme; R. Oldenbourg Verlag 2009

Applicability in study programs

  • Automotive Engineering (Master)
    • Automotive Engineering M.Sc. (01.09.2025)

  • Computer Science
    • Computer Science M.Sc. (01.09.2025)

  • Electrical Engineering (Master)
    • Electrical Engineering M.Sc. (01.09.2025)

    Person responsible for the module
    • Heimbrock, Andreas
    Teachers
    • Heimbrock, Andreas