Demodulation approach for slowly sampled sensorless field-oriented control systems enabling multiple-frequency injections

Marco Roetzer, Ulrich Vollmer, Ralph Kennel

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

10 Scopus citations

Abstract

This paper describes a demodulation approach based on the least squares method for a saliency based position estimation in slowly sampled field-oriented control systems. The proposed approach focuses on the sensorless control of electrical drives in which the sample rate of the control task is chosen slower than both the maximum possible update rate of the phase voltages and the maximum possible sample rate of the phase current measurement by a multiple. Under those conditions it is possible to inject multiple-frequency carrier signals between two successive control sampling instances without affecting the control. Furthermore, a combined demodulation of these signals is enabled by exploiting the constant manipulated variables of the field-oriented control system during the injection sequence. With the proposed method the signal-to-noise-ratio (SNR) of the calculated rotor position as well as the acoustic noise produced by signal injections can be optimized. The approach is implemented in a field-oriented control for permanent magnet synchronous machines (PMSM) and is verified in experiments.

Original languageEnglish
Title of host publicationIEEE Industry Application Society, 52nd Annual Meeting
Subtitle of host publicationIAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467386715
DOIs
StatePublished - 2 Nov 2016
Event52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 - Portland, United States
Duration: 2 Oct 20166 Oct 2016

Publication series

NameIEEE Industry Application Society, 52nd Annual Meeting: IAS 2016

Conference

Conference52nd Annual Meeting on IEEE Industry Application Society, IAS 2016
Country/TerritoryUnited States
CityPortland
Period2/10/166/10/16

Keywords

  • Carrier Signal Injection
  • Multiple-Frequency Injection
  • Permanent magnet machines
  • Self-Sensing
  • Sensorless Control

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