Radial force control for triple three-phase sectored SPM machines. Part I: Machine model

G. Sala, D. Gerada, C. Gerada, A. Tani

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

8 Citations (Scopus)

Abstract

The radial force control technique for a triple three-phase Surface Permanent Magnet (SPM) machine is investigated in this paper. The machine has a nine-phase winding arranged in three sectors and supplied by three different Voltage Source Inverters (VSI). A machine model is developed, based on the multi space vector approach. The multi space vector current control technique is exploited to control the torque and the radial force. The radial force control can be useful to compensate for a bearing fault or for a rotor eccentricity. Finite element simulations are used to validate the model and the control technique. Finally, criticalities of the control and modelling aspects are discussed.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages193-198
Number of pages6
ISBN (Electronic)9781509058532
DOIs
Publication statusPublished - 13 Jun 2017
Externally publishedYes
Event2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017 - Nottingham, United Kingdom
Duration: 20 Apr 201721 Apr 2017

Publication series

NameProceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017

Conference

Conference2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017
Country/TerritoryUnited Kingdom
CityNottingham
Period20/04/1721/04/17

Keywords

  • Analytical models
  • Brushless machines
  • Fault tolerance
  • Fault tolerant systems
  • Force
  • Force control
  • Machine vector control
  • Permanent magnet machines

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Safety, Risk, Reliability and Quality

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