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Model-Based Detection and Estimation of DC Offset of Phase Current Sensors for Field Oriented PMSM Drives
Author(s) -
Ciro Attaianese,
Matilde D'Arpino,
Mauro Di Monaco,
Luigi Pio Di Noia
Publication year - 2022
Publication title -
ieee transactions on industrial electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.393
H-Index - 287
eISSN - 1557-9948
pISSN - 0278-0046
DOI - 10.1109/tie.2022.3192683
Subject(s) - power, energy and industry applications , signal processing and analysis , communication, networking and broadcast technologies
Failure of a phase current sensor in permanent magnet synchronous machine (PMSM) drive can highly impact the performance of the drive. Especially, offset faults can cause torque oscillations, which can lead to an unacceptable deterioration of the drive's performance and mechanical damages. The diagnosis of this fault condition is of fundamental importance in many applications and it is often solved by means of highly computational state estimation techniques. This article presents a new model-based approach to systematically and accurately detect and estimate phase current sensor offsets in PMSM drives. The steady-state analytical solution of the PMSM drive model, including the control loop of the field oriented control and the sensor offset disturbance, has been found, allowing for estimating the effect of the fault on the electric drive performance. Then, a simple and effective diagnostic algorithm has been developed to detect, isolate, and accurately estimate the location and the magnitude of the fault eliminating any need for state estimation or observers. Numerical and experimental results have been reported to validate the proposed model and diagnostic algorithm even in case of motor parameters variation.

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