A Fast Diagnosis Method for Both IGBT Faults and Current Sensor Faults in Grid-Tied Three-Phase Inverters With Two Current Sensors

Zhan, Li; Wheeler, Patrick; Watson, Alan J.; Costabeber, Alessandro; Wang, Borong; Ren, Yini; Bai, Zhihong; Ma, Hao

doi:10.1109/tpel.2019.2946692

Cited by 80 publications

(40 citation statements)

References 35 publications

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“…The fault diagnosis process is generally achieved through residual generation. Some contributions have proposed observers to estimate motor or grid currents [4][5][6][7][8][9] whereas others have been dedicated to estimate converter's output voltages [10][11][12][13][14][15][16][17][18]. For current-based algorithms, a residual is generated by comparing the measured current with the observed current.…”

Section: Introductionmentioning

confidence: 99%

Open‐switch fault diagnosis in voltage source inverters of PMSM drives using predictive current errors and fuzzy logic approach

Gmati

Jlassi

Khil

et al. 2021

IET Power Electronics

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In critical industrial applications fault diagnosis and fault tolerance are considered key features, in order to ensure the required reliability and availability levels. In this context, this paper proposes a new and effective diagnostic algorithm for power semiconductors opencircuit faults, in three-phase, two-level, voltage-source inverter-fed permanent magnet synchronous machine (PMSM). The proposed method is based on the analysis of the errors between the reference currents and the PMSM stator predictive currents. Hence, for each phase of the PMSM two fault diagnostic variables have been defined, which allow the diagnosis of both single and multiple open-circuit faults. The fuzzy logic approach is applied to the fault diagnostic variables in order to identify the faulty power switches. The method is experimentally validated on a model predictive controlled (MPC) permanent magnet synchronous motor (PMSM) drive, which shows the effectiveness of the fault diagnosis algorithm with a high robustness regarding the operating point and parameter variations of the PMSM drive system. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%

Open‐switch fault diagnosis in voltage source inverters of PMSM drives using predictive current errors and fuzzy logic approach

Gmati

Jlassi

Khil

et al. 2021

IET Power Electronics

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show abstract

“…Reference [7] proposes a diagnosis method based on the ratio between line voltages. Line voltage deviations and phase voltage deviations are combined to classify open-circuit faults and current sensor faults in [8]. Reference [9] performs diagnosis by monitoring the residence time of the park's vector in each sector of the αβ Manuscript was submitted for review on 07, April, 2020.…”

Section: Introductionmentioning

confidence: 99%

A hybrid diagnosis method for inverter open-circuit faults in PMSM drives

Zhang

Luo

Zhengbin

et al. 2020

Trans. Electr. Mach. Syst.

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In order to improve the evaluation process of inverter open-circuit faults diagnosis in permanent magnet synchronous motor (PMSM) drives, this paper presents a diagnosis method based on current residuals and machine learning models. The machine learning models are introduced to make a comprehensive evaluation for the current residuals obtained from a state observer, instead of evaluating the residuals by comparing with thresholds. Meanwhile, fault diagnosis and location are conducted simultaneously by the machine learning models, which simplifies the diagnosis process. Besides, a sampling strategy is designed to implement the proposed scheme online. Experiments are carried out on a DSP based PMSM drive， and the effectiveness of the proposed method is verified.

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“…The premise of fault tolerance is fault diagnosis. The fault diagnosis method of the inverter has been extensively studied [5][6][7]. At present, faulttolerant technologies for inverter failure are mainly divided into software level solutions without additional hardware and hardware solutions [8].…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control of Five-Level Inverter Based on Redundancy Space Vector Optimization and Topology Reconfigruation

Wei

2020

IEEE Access

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Compared with two-level and three-level inverters, five-level inverters have more redundant space vectors to implement flexible control strategy. A fault tolerance method for open circuit fault of power tube in Neutral Point Clamped (NPC) five level inverter is proposed. The open circuit fault of inverter is divided into type Ⅰ and type Ⅱ in this paper. Redundant space vector optimization and topological reconfiguration fault tolerance strategies are used for type I and type II failures, respectively. The basic vector of the synthetic reference vector Uref is reoptimize according to the redundant vector, and get a new control strategy after the decision. This method enables the inverter to achieve fault-tolerant operation without modifying hardware or adding bridge arms. The output performance of the inverter after fault is guaranteed and the cost of fault tolerance is greatly reduced. The feasibility and effectiveness of the proposed fault-tolerant method are verified through experiments.

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A Fast Diagnosis Method for Both IGBT Faults and Current Sensor Faults in Grid-Tied Three-Phase Inverters With Two Current Sensors

Cited by 80 publications

References 35 publications

Open‐switch fault diagnosis in voltage source inverters of PMSM drives using predictive current errors and fuzzy logic approach

Open‐switch fault diagnosis in voltage source inverters of PMSM drives using predictive current errors and fuzzy logic approach

A hybrid diagnosis method for inverter open-circuit faults in PMSM drives

Fault Tolerant Control of Five-Level Inverter Based on Redundancy Space Vector Optimization and Topology Reconfigruation

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