Machine Current Sensor FDI Strategy in PMSMs

Authors

Haibo LiFollow
Yi Qian, University of Nebraska-LincolnFollow
Sohrab AsgarpoorFollow
Hamid Sharif, University of Nebraska-LincolnFollow

ORCID IDs

Haibo Li

Yi Qian

Date of this Version

11-12-2019

Citation

Digital Object Identifier 10.1109/ACCESS.2019.2950429

Comments

CC-BY

Abstract

This work proposes a machine current sensor fault detection and isolation (FDI) strategy in permanent magnet synchronous machines (PMSMs) resilient to multiple faults. The fault detection is performed by comparing the measured and estimated DC link currents. The fault isolation is achieved according to machine phase signal estimation and the corresponding residual examination. Single sensor fault, multiple sensor faults and non-sensor fault are covered by the proposed FDI method. The proposed sensor FDI method is not influenced by machine imbalance, feasible for FDI of both single and multiple machine current sensor faults, and capable of distinguishing between machine current sensor fault and non-sensor fault. The proposed method is validated with simulation studies in MATLAB, and the studies demonstrate that the proposed machine current sensor FDI method, different from existing methods, has a unique feature of being able to handle multiple sensor faults with the consideration of non-sensor fault disturbance.