Observer-based fault detection in induction machines

Masala, Jean-Pierre Makiadi, Busawon, Krishna and Djemaï, Mohamed (2014) Observer-based fault detection in induction machines. In: EFEA 2014: 3rd International Symposium on Environmental Friendly Energies and Applications, 19th - 21st November 2014, Paris, France.

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In this paper, we present a methodology for the design of the rotor flux observer for induction motors and its applications to fault detection. We start with the well-known α-β model of induction motors. We employ a change of coordinates to transform the fifth order α-β model to a third order model expressed in terms of complex differential equations. After that, an inverse transformation is used to revert back to the original coordinates. Moreover, we use the designed observer in order to detect some faults arising in the induction motor. By doing so, a proper fault monitoring system is realised. We consider mainly the effects of voltage sag, stator inter-turn short-circuit and broken rotor bar faults that usually arise in induction motors. The validity of the proposed approach is verified with results from simulation of the model of the induction motor.

Item Type: Conference or Workshop Item (Paper)
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 06 Jan 2016 14:56
Last Modified: 12 Oct 2019 19:20

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