| Autor: |
Haibo Li, Yi Qian, Sohrab Asgarpoor, Hamid Sharif |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 7, Pp 158575-158583 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2019.2950429 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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