Current and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer

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This study proposes an advanced current and position sensor fault diagnosis mechanism for permanent magnet synchronous motor (PMSM) applications. Machine nonlinear dynamics as well as parameter and load uncertainties are addressed. The features of the results of this study are summarized as follows: a) a proportionaltype full-state observer is combined with a disturbance observer to deal with the model uncertainties, b) a partial optimal process is introduced for determining the observer gain, c) the concept of normalized residuals is introduced for fault diagnosis criteria, and d) a closed-loop analysis of the convergence, performance recovery, and offset-free guarantee is provided. The performance recovery property makes the proposed algorithm robust to parameter uncertainties and load variations, and sensitive only to sensor faults. In addition, the location and type of sensor faults can be identified by the fault diagnosis criteria using the normalized residuals. The performance of the sensor fault diagnosis algorithm was experimentally verified under several credible scenarios using a 7.5-kW PMSM.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2021-06
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.68, no.6, pp.5227 - 5236

ISSN
0278-0046
DOI
10.1109/TIE.2020.2992977
URI
http://hdl.handle.net/10203/281561
Appears in Collection
ME-Journal Papers(저널논문)
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