Axial position estimation of conical shaped motor for green taxiing application

S. Roggia, M. Galea, C. Gerada, F. Cupertino

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

7 Citations (Scopus)

Abstract

This paper considers the possibility of adopting a conical shaped motor for Green Taxiing (GT) application. This topology of motor has been selected in order to obviate the presence of external declutching system (i.e. mechanical or electromagnetic clutch) interposed between the electric actuator and the wheel. An axial force contributes to move the rotor inside-out of the stator (principle of sliding-rotor). The axial movement of the rotor can be monitored acting on the magnetizing current. The axial sensor-less position estimation method described hereafter envisages the possibility of evaluating the axial position of the rotor during the engaging and disengaging movement from the wheel. The axial position calculation is dependent on the inductance of the motor. An 'online' computation of the position has been implemented through the use of high-frequency injection signals.

Original languageEnglish
Title of host publicationECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007370
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States
Duration: 18 Sep 201622 Sep 2016

Publication series

NameECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings

Conference

Conference2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
Country/TerritoryUnited States
CityMilwaukee
Period18/09/1622/09/16

Keywords

  • conic motor
  • green taxiing
  • high voltage signal injection
  • sliding rotor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Control and Optimization

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