Rotor Position Observer Utilizing a Sinc-filter for Permanent Magnet Synchronous Motor

Andrey Chepiga, Valentina Podzorova, Alecksey Anuchin, Mario Hirz, Christoph Datlinger, Fedor Getmanenko

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Abstraet ― Sensorless control systems became a standard for industrial drives. The sensorless control systems utilize observers for the estimation of the rotor position which is mandatory for torque control. One of the commonly used methods is a back-EMF observer, which estimates back-EMF and the rotor position of the permanent magnet synchronous motor as well. However, the accuracy of the observer is strictly dependent on the type of the filter used to distinguish back-EMF, which causes the phase delay in the position estimation. This paper proposes to use sinc-filter of the third order to achieve a higher accuracy in the position estimation. As the sequence coming from sliding mode observer has the properties of delta-sigma modulated signal, extra information can be extracted for the specified measurement time and provides higher accuracy than the use of simple moving average filter. The proposed algorithm was verified using MATLAB Simulink and showed better accuracy compared to conventional method.

Original languageEnglish
Title of host publication2021 28th International Workshop on Electric Drives
Subtitle of host publicationImproving Reliability of Electric Drives, IWED 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9780738144436
Publication statusPublished - 27 Jan 2021
Event28th International Workshop on Electric Drives: Improving Reliability of Electric Drives: IWED 2021 - Virtuell, Russian Federation
Duration: 27 Jan 202129 Jan 2021


Conference28th International Workshop on Electric Drives: Improving Reliability of Electric Drives
Abbreviated titleIWED 2021
Country/TerritoryRussian Federation


  • Eleetromotive-force
  • Observer
  • Sensorless control
  • Sinc-filter

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Fields of Expertise

  • Mobility & Production

Cite this