Sensorless Flux Observer-Based Fault Detection of Induction Machines

Masala, Jean-Pierre, Busawon, Krishna, Jovanovic, Milutin and Binns, Richard (2019) Sensorless Flux Observer-Based Fault Detection of Induction Machines. In: 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA). IEEE. ISBN 978-1-5386-5518-4

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/EFEA.2018.8617075

Abstract

In this paper, we introduce a strategy for the design of a sensorless flux observer-based fault detection system for use with induction motors. To synthesise the flux observer for this machine, we use a third order model for induction machines expressed in term of complex differential equations. Since the equation of the rotor speed of the induction motor is complicated to analyse, we replace it by its behavioural model for the design of the flux observer. Moreover, we use the synthesised observer in order to investigate the effects of two common types of faults (i.e. voltage sag and the stator inter-turn short-circuit) that can occur in these machines. The validity of the proposed methodology is assessed via simulation results using a model of the induction motor.

Item Type: Book Section
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 06 Jun 2019 08:56
Last Modified: 10 Oct 2019 18:31
URI: http://nrl.northumbria.ac.uk/id/eprint/39518

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence