Rotor Position Estimation of Permanent Magnet Synchronous Motors Using Low-Resolution Sensors

Donghoon Ban, Seonghun Lee, Jaeseung Hong

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The vibration and noise of permanent magnet synchronous motors are caused by torque ripple. To reduce the torque ripple, it is necessary to know the precise rotor position. Using a high-resolution sensor, it is possible to reduce the harmonics when the controller knows the precise rotor position. However, there are problems using high-resolution sensors including difficult installation due to the narrow space, high cost, and low durability against external shocks. Therefore, the rotor position is estimated using low-resolution sensors. The rotor position is assumed using the average speed and the hall interval weight. However, this value is very difficult to estimate precisely in extremely low speed areas or speed transition periods. Thus, methods to solve this problem are developed using fuzzy logic, which utilizes the speed and delta speed as inputs. It is confirmed that the rotor position error, estimated using fuzzy logic, is less than that estimated using the average of the hall interval.

Original languageEnglish
Pages (from-to)78-85
Number of pages8
JournalInternational Journal of Fuzzy Systems
Volume19
Issue number1
DOIs
StatePublished - 1 Feb 2017

Bibliographical note

Publisher Copyright:
© 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg.

Keywords

  • Encoder sensor
  • Fuzzy algorithm
  • Hall sensor
  • PMSM
  • Rotor position
  • Vector control

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