Axial Position Estimation of Conical Shaped Motors for Aerospace Traction Applications

Sara Roggia, Francesco Cupertino, Chris Gerada, Michael Galea

Research output: Journal PublicationArticlepeer-review

13 Citations (Scopus)

Abstract

This paper is concerned with the use of conical induction machines. Such machines are extremely valuable when apart from the rotational torque output; an axial translation of the rotor is also required. The inherent attraction between the stator and rotor of any machine combined with the geometry of a conical machine will provide the required axial movement. However, when applied to aerospace applications, where reliability is very important, then full monitoring of the axial position is required. In this paper, an innovative approach aimed at monitoring and controlling the axial translation of a conical induction machine is proposed and investigated. In order to increase the system reliability and also decrease component count as demanded by the application, the methodology is a sensor-less technique based on an innovative variant of the high-frequency injection approach. In this paper, the technique has been fully investigated and experimentally validated on a purposely built instrumented test-rig.

Original languageEnglish
Article number7954633
Pages (from-to)5405-5414
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume53
Issue number6
DOIs
Publication statusPublished - 1 Nov 2017

Keywords

  • Conical motor
  • high-voltage signal injection
  • in-wheel actuator
  • sliding rotor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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