Position estimation for synchronous motor drives: unified framework for design and analysis

Marko Hinkkanen, Seppo E. Saarakkala, Hafiz Asad Ali Awan, Eemeli Mölsä, Toni Tuovinen

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

5 Citations (Scopus)
209 Downloads (Pure)

Abstract

This paper deals with the model-based speed and position estimation for synchronous reluctance motors (SyRMs) and interior permanent-magnet synchronous motors (IPMs). A unified design and analysis framework for a class of observers is developed and the links between apparently different observer structures are brought out. Adaptive state observers equipped with a speed-adaptation law are shown to equal voltage-model-based flux observers equipped with a position-tracking phase-locked loop (PLL). The error signal driving the adaptation law or the PLL is presented in a generalized form. The developed framework enables revealing potential instability issues of existing observer designs and exploiting already existing stability results. A stabilizing gain design is reviewed and design guidelines are given. The observer design is experimentally evaluated using a 6.7-kW SyRM drive.
Original languageEnglish
Title of host publicationProceedings of the 8th IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2017
PublisherIEEE
Pages25-30
ISBN (Electronic)978-1-5090-6587-5
DOIs
Publication statusPublished - 18 Sep 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Symposium on Sensorless Control for Electrical Drives - Palazzo Manganelli, Catania, Italy
Duration: 18 Sep 201719 Sep 2017
Conference number: 8

Publication series

NameIEEE International Symposium on Sensorless Control for Electrical Drives
PublisherIEEE
ISSN (Electronic)2166-6733

Conference

ConferenceIEEE International Symposium on Sensorless Control for Electrical Drives
Abbreviated titleSLED
CountryItaly
CityCatania
Period18/09/201719/09/2017

Keywords

  • observer
  • stability conditions
  • speed sensorless

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