The Study on Position Sensor Fault Detection and Algorithm Transition from Sensored to Sensorless Control for IPMSM

Dongwoo Lee, Kan Akatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a study on the algorithm transition from sensored to sensorless control when the position sensor fault of interior permanent magnet synchronous motor (IPMSM) occurs. The determination of threshold values related to the difference between estimated value and actual value is necessary to decide the fault condition of speed and position sensor. This threshold value should be selected by a higher value than the maximum overshoot caused by acceleration or deceleration of motor as well as steady state error. The overshoot values are depend on the gain of speed and position estimator for sensorless control. In this paper, the relation between the overshoot values and estimator gains is studied to define the stable selection of threshold value. The designed estimator gain and threshold value are verified by experimental results in order to obtain the stable algorithm transition.

Original languageEnglish
Title of host publicationICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788957083130
Publication statusPublished - 2019 May 1
Event10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia - Busan, Korea, Republic of
Duration: 2019 May 272019 May 30

Publication series

NameICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

Conference

Conference10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia
Country/TerritoryKorea, Republic of
CityBusan
Period19/5/2719/5/30

Keywords

  • Extended EMF estimator
  • Fault detection
  • Interior permanent magnet synchronous motor
  • Sensorless control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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