Multifault Observer Based Detection Method for Brushless DC Motors

A detection and identification method for high resistance connection faults and open phase fault in Brushless DC motors is presented. The method uses the current and speed residuals to detect the type of fault, the faulty phase and the severity of the fault in the case of high resistance connection. The residuals are made by comparing the measured signals and their estimates. These estimates are obtained with an observer which reconstructs the stator currents using only the rotor position signal. An observability analysis is included to show that it is possible to reconstruct the currents from the position measurement. Numerical simulations are presented to validate the proposed fault detection scheme.

Authors

Publication Details

Journal
Memorias del Congreso Nacional de Control Automático
Published
2024-12-27
DOI
https://doi.org/10.58571/cnca.amca.2024.056
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

Multifault Observer Based Detection Method for Brushless DC Motors

Alejandra de la Guerra, Alejandro Gutiérrez–Giles
Memorias del Congreso Nacional de Control Automático
Sensorless Control of Electric Motors
article

Multifault Observer Based Detection Method for Brushless DC Motors

Alejandra de la Guerra, Alejandro Gutiérrez–Giles
article en

Abstract

A detection and identification method for high resistance connection faults and open phase fault in Brushless DC motors is presented. The method uses the current and speed residuals to detect the type of fault, the faulty phase and the severity of the fault in the case of high resistance connection. The residuals are made by comparing the measured signals and their estimates. These estimates are obtained with an observer which reconstructs the stator currents using only the rotor position signal. An observability analysis is included to show that it is possible to reconstruct the currents from the position measurement. Numerical simulations are presented to validate the proposed fault detection scheme.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
Openalex Percentile: Top 77%
Sensorless Control of Electric Motors
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