A Hybrid System Model-Based Open-Circuit Fault Diagnosis Method of Three-Phase Voltage-Source Inverters for PMSM Drive Systems

Chen, Tao; Pan, Yonglong; Xiong, Zhanbo

doi:10.3390/electronics9081251

Cited by 17 publications

(10 citation statements)

References 33 publications

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“…In the passive system, stability is provided by using a properly designed controller, without use of the controller reconfiguration and the FDI block, even when a fault occurs. Therefore this method is computationally interesting [3] and much easier to implement [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. In [3], passive FTC, robust to the stator inter-turn short-circuit Energies 2021, 14, 3443 2 of 18 fault (ITSC) of an induction machine (IM), is presented.…”

Section: Introductionmentioning

confidence: 99%

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A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers

Jankowska

Dybkowski

2021

Energies

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The paper describes a vector-controlled fault tolerant control (FTC) structure for permanent magnet synchronous motor (PMSM) drives. As a control algorithm, the classical field oriented control was applied. For the proper operation of this drive, minimum two current sensors are necessary, however, in the FTC drives additional redundant transducers are applied. Each measuring sensor, including current sensors, are susceptible to damage and can lead to unstable operation of the drive. The presented control structure, with a diagnostic and compensation system, is robust to the typical current sensor faults—lack of signal, intermittent signal, variable gain, signal noise and signal saturation. The fault detection algorithm is based on the signal method. The fault diagnostic system is tested in two control algorithms—the scalar control and vector control ones—to demonstrate the transient of the faulted signals, detection signals and detection time. After current sensor fault appearance, its influence on the control structure, especially speed transient, is compensated using non-sensitive components. The analysis is presented for all the abovementioned faults for different speed conditions.

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Section: Introductionmentioning

confidence: 99%

“…In the case of drive systems, three main types of faults can be indicated, starting with power electronics faults, which can be divided into power semiconductor faults and DC bus faults [17][18][19]. Another type of failure are mechanical faults [20,21,23] and electrical faults [24][25][26] concerning the motor.…”

Section: Introductionmentioning

confidence: 99%

A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers

Jankowska

Dybkowski

2021

Energies

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“…Specifically, the observer-based method is applied to diagnose the open-circuit fault in [10][11][12][13][14]. In [12], a novel open switch fault diagnosis method based on differential current observer is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…To avoid false and missed detection caused by the change of operating conditions, an adaptive fault detection threshold is designed. In [13], to quickly diagnose whether the fault occurs, a current estimator was constructed based on the healthy hybrid system model. The fault isolation can be carried out according to the characteristics of Euclidean distances.…”

Section: Introductionmentioning

confidence: 99%

A Diagnosis Method of Semiconductor Power Switch Open-Circuit Fault in the PMSM Drive System With the MPCC Method

Deng

2021

IEEE Access

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The open-circuit fault of semiconductor power switch is a common fault in permanent magnet synchronous motor (PMSM) drive system. If this fault is not detected in time, it will cause abnormal operation of the system, bring economic losses, and even endanger personal safety. Recently, the model predictive current control (MPCC) method is widely used in PMSM drive system due to its simple structure and excellent dynamic performance. However, there are few research works that focus on the open-circuit fault diagnosis of semiconductor power switch in PMSM drive system with MPCC method. The previous fault diagnosis methods are mainly aimed at PMSM drive system with conventional control method. Therefore, this paper proposes a diagnosis method of semiconductor power switch open-circuit fault to improve the reliability of PMSM drive system with MPCC method. The cost function is used to detect the abnormality of PMSM drive system. And the stator current and the drive signal of the semiconductor power switch are used to complete the fault diagnosis. The proposed fault diagnosis method is robust against the operating point and parameter mismatch of PMSM drive system. The simulation results verify the effectiveness of the proposed fault diagnosis method.

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“…In contrast, an OCF will not immediately cause the shutdown of the system and can remain undetected for an extended period. This may cause overstress on the healthy switches, leading to the second fault of other components [9].…”

Section: Introductionmentioning

confidence: 99%

Open-Circuit Fault Diagnosis of Three-Phase PWM Rectifier Using Beetle Antennae Search Algorithm Optimized Deep Belief Network

Zhang

2020

Electronics

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Effective open-circuit fault diagnosis for a two-level three-phase pulse-width modulating (PWM) rectifier can reduce the failure rate and prevent unscheduled shutdown. Nevertheless, traditional signal-based feature extraction methods show poor distinguishability for insufficient fault features. Shallow learning diagnosis models are prone to fall into local extremum, slow convergence speed, and overfitting. In this paper, a novel fault diagnosis strategy based on modified ensemble empirical mode decomposition (MEEMD) and the beetle antennae search (BAS) algorithm optimized deep belief network (DBN) is proposed to cope with these problems. Initially, MEEMD is applied to extract useful fault features from each intrinsic mode function (IMF) component. Meanwhile, to remove features with redundancy and interference, fault features are selected by calculating the importance of each feature based on the extremely randomized trees (ERT) algorithm, and the dimension of fault feature vectors is reduced by principal component analysis. Additionally, the DBN stacked with two layers of a restricted Boltzmann machine (RBM) is selected as the classifier, and the BAS algorithm is used as the optimizer to determine the optimal number of units in the hidden layers of the DBN. The proposed method combined with feature extraction, feature selection, optimization, and fault classification algorithms significantly improves the diagnosis accuracy.

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A Hybrid System Model-Based Open-Circuit Fault Diagnosis Method of Three-Phase Voltage-Source Inverters for PMSM Drive Systems

Cited by 17 publications

References 33 publications

A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers

A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers

A Diagnosis Method of Semiconductor Power Switch Open-Circuit Fault in the PMSM Drive System With the MPCC Method

Open-Circuit Fault Diagnosis of Three-Phase PWM Rectifier Using Beetle Antennae Search Algorithm Optimized Deep Belief Network

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