Skip to main navigation Skip to search Skip to main content

Current sensorless deadbeat predictive control method for permanent magnet synchronous motor

  • Harbin Institute of Technology

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

Abstract

A deadbeat predictive control based current sensorless control method is proposed as a backup method in this paper, by replacing the current feedback with the predicted current at one sampling period ahead, the feedback current information is not needed, thus current sensors can be omitted. Noticing that parameter mismatch will largely influence the control performance of predictive control, q axis inductance is identified online by recursive least square (RLS) method when the motor is functioning with healthy current sensors. Effectiveness of the proposed methods is verified through experiment on a 750W PMSM servo system and it shows that favorable speed response can be achieved.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8182-8187
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

Keywords

  • Current sensorless control
  • PMSM
  • parameter identification
  • predictive current control

Fingerprint

Dive into the research topics of 'Current sensorless deadbeat predictive control method for permanent magnet synchronous motor'. Together they form a unique fingerprint.

Cite this