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Axial position estimation of conical shaped motors for aerospace traction applications

Roggia, S.; Cupertino, Francesco; Gerada, C.; Galea, Michael

Authors

S. Roggia

Francesco Cupertino

C. Gerada chris.gerada@nottingham.ac.uk

Michael Galea michael.galea@nottingham.ac.uk



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.

Journal Article Type Article
Journal IEEE Transactions on Industry Applications
Print ISSN 0093-9994
Electronic ISSN 1939-9367
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 53
Issue 6
APA6 Citation Roggia, S., Cupertino, F., Gerada, C., & Galea, M. (in press). Axial position estimation of conical shaped motors for aerospace traction applications. IEEE Transactions on Industry Applications, 53(6), doi:10.1109/TIA.2017.2717911
DOI https://doi.org/10.1109/TIA.2017.2717911
Keywords conical motor; sliding rotor; high voltage signal injection; in-wheel actuator
Publisher URL http://ieeexplore.ieee.org/document/7954633/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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