Position sensor-less resonant frequency estimation method for linear compressor with assist springs

Takahiro Suzuki, Masaki Koyama, Shuhei Nagata, Wataru Hatsuse, Masatsugu Takemoto, Satoshi Ogasawara

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

Abstract

Higher efficiency for a linear motor should be achievable by adding assist springs and driving the motor at the resonant frequency, even if the efficiency of the motor itself is relatively lower than that of a rotational motor. When using a linear motor with assist springs in a sealed chamber such as a compressor, it is difficult to install a position sensor in such an environment; thus, position sensor-less resonant frequency control is essential. This paper proposes a drive control method that realizes resonant frequency driving without a position sensor. The resonant frequency is estimated on the basis of the detected motor phase current, and the position is estimated using only the fundamental component of the current after removing the offset of the detected current with a high-pass filter. Experimental results show that the proposed method can successfully track the resonant frequency dynamically without a position sensor.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Electrical Machines, ICEM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1206-1212
Number of pages7
ISBN (Electronic)9781728199450
DOIs
Publication statusPublished - Aug 23 2020
Event2020 International Conference on Electrical Machines, ICEM 2020 - Virtual, Gothenburg, Sweden
Duration: Aug 23 2020Aug 26 2020

Publication series

NameProceedings - 2020 International Conference on Electrical Machines, ICEM 2020

Conference

Conference2020 International Conference on Electrical Machines, ICEM 2020
CountrySweden
CityVirtual, Gothenburg
Period8/23/208/26/20

Keywords

  • Control design
  • Motion control
  • Motor drives
  • Permanent magnet machines
  • Position control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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