Machine Current Sensor FDI Strategy in PMSMs

Haibo Li,Sohrab Asgarpoor,Yi Qian,Hamid Sharif

doi:10.1109/access.2019.2950429

Haibo Li, Sohrab Asgarpoor + Show 2 more

Open Access

https://doi.org/10.1109/access.2019.2950429

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Journal: IEEE Access	Publication Date: Jan 1, 2019
Citations: 23	License type: CC BY 4.0

Affiliation: University of Nebraska–Lincoln

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.

Highlights

A variety of power equipment influences the performance of electric power grid including electric machines, transmission lines, transformers, etc. [1]–[3], of which the electric machines have an critical role in the electric power quality and power system reliability
The permanent magnet synchronous machines (PMSMs) is operating under changing load and changing speed conditions in which the machine current amplitude is varying depending on load requirements
WORK A novel machine current sensor fault detection and isolation (FDI) method with a unique feature of being able to accurately detect and isolate multiple machine current sensor faults with the consideration of a nonsensor fault is proposed in this work

Summary

INTRODUCTION

A variety of power equipment influences the performance of electric power grid including electric machines, transmission lines, transformers, etc. [1]–[3], of which the electric machines have an critical role in the electric power quality and power system reliability. Li et al.: Machine Current Sensor FDI Strategy in PMSMs reorganizing themselves in the occurrence of current sensor fault, such as achieving seamless transition from vector control to fuzzy-logic-based intelligent control It is hard for the proposed methods to handle multiple sensor faults, because the underlying assumption of these FDI methods is that there is only one sensor fault, and the machine has to operate under open-loop Volts/Hertz control when multiple faults occur which results in a significant performance degradation. For most existing methods in literature, the machine current is estimated by model-based observers for comparison with the sensor-measured signal to perform the current sensor FDI. The authors in [22] and [23] propose a FDI method based on the source current residual, which could potentially be used for various machine current sensor fault scenarios considering the disturbance of a nonsensor imbalance in PMSMs. the multiple machine current sensor faults are not well covered. The proposed method does not require complicated modeling, is not influenced by machine three-phase imbalance, is resilient to multiple machine current sensor faults, and is capable of distinguishing between machine current sensor and non-sensor faults

PROPOSE PMSM CURRENT SENSOR FDI METHOD

SENSOR FAULT DETECTION

CONCLUSION AND FUTURE WORK