Axial position estimation of conical shaped motor for green taxiing application

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Roggia, S., Galea, Michael, Gerada, C. and Cupertino, Francesco (2017) Axial position estimation of conical shaped motor for green taxiing application. In: IEEE Energy Conversion Congress and Exposition (ECCE), 18-22 Sept. 2016, Milwaukee, WI, USA.

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Official URL: http://ieeexplore.ieee.org/document/7854895/

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 “on¬line” computation of the position has been implemented through the use of high-frequency injection signals.

Item Type:

Conference or Workshop Item (Paper)

RIS ID:

https://nottingham-repository.worktribe.com/output/845544

Additional Information:

ISBN 978-1-5090-0737-0. © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords:

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

Schools/Departments:

University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering

Identification Number:

https://doi.org/10.1109/ECCE.2016.7854895

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