Current sensor fault detection and isolation of the driving motor for an in-wheel motor drive vehicle international conference on control, automation and systems (ICCAS 2011)

This paper presents the fault detection and isolation (FDI) strategy for an in-wheel motor drive vehicle. Only the FDI algorithm for the current sensor is developed in order to ensure reliability for driving motors. In this study, an Interior Permanent Magnet Synchronous Motor (IPMSM) is used as a d...

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Bibliographic Details
Main Authors: Byung-Hwan Lee, Nam-Ju Jeon, Hyeong-Cheol Lee
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Fault detection
Fault Detection and Isolation (FDI)
In-wheel Motor Drive Vehicle
Interior Permanent Magnet Synchronous Motor (IPMSM)
Mathematical model
Motor drives
Permanent magnet motors
Redundancy
Vehicles
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Summary:This paper presents the fault detection and isolation (FDI) strategy for an in-wheel motor drive vehicle. Only the FDI algorithm for the current sensor is developed in order to ensure reliability for driving motors. In this study, an Interior Permanent Magnet Synchronous Motor (IPMSM) is used as a driving motor. Also, the model-based FDI method and the Parity Relation are applied. The developed FDI algorithms consider residuals, which are determined by differences between measurements coming from sensors and models. The time varying adaptive thresholds of the residuals are used to consider the modelling errors during the transient maneuvers. The simulation of the developed FDI algorithms applied to an IPMSM has been implemented in the MATLAB environment. Simulation results illustrate the applicability of the proposed approach.
ISSN:2093-7121