An MRAS-Based Diagnosis of Open-Circuit Fault in PWM Voltage-Source Inverters for PM Synchronous Motor Drive Systems

Jung, Shin-Myung; Park, Jin-Sik; Kim, Hag-Wone; Cho, Kwan-Yuhl; Youn, Myung-Joong

doi:10.1109/tpel.2012.2212916

Cited by 235 publications

(100 citation statements)

References 31 publications

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“…The absolute threshold value chosen in this paper is 0. 5. Under an open phase fault, the D value approaches zero.…”

Section: Proposed Fd Methodsmentioning

confidence: 97%

See 1 more Smart Citation

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

Salehifar¹,

Arashloo²,

Eguilaz³

et al. 2015

Journal of Power Electronics

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The voltage-source inverters (VSI) supplying a motor drive are prone to open transistor faults. To address this issue in faulttolerant drives applicable to electric vehicles, a new open transistor fault diagnosis (FD) method is presented in this paper. According to the proposed method, in order to define the FD index, the phase angle of the converter output current is estimated by a simple trigonometric function. The proposed FD method is adaptable, simple, capable of detecting multiple open switch faults and robust to load operational variations. Keeping the FD in mind as a mandatory part of the fault tolerant control algorithm, the FD block is applied to a five-phase converter supplying a multiphase fault-tolerant PM motor drive with nonsinusoidal unbalanced current waveforms. To investigate the performance of the FD technique, the fault-tolerant sliding mode control (SMC) of a five-phase brushless direct current (BLDC) motor is developed in this paper with the embedded FD block. Once the theory is explained, experimental waveforms are obtained from a five-phase BLDC motor to show the effectiveness of the proposed FD method. The FD algorithm is implemented on a field programmable gate array (FPGA).

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“…The absolute threshold value chosen in this paper is 0. 5. Under an open phase fault, the D value approaches zero.…”

Section: Proposed Fd Methodsmentioning

confidence: 97%

“…In terms of the model based method, a simple and fast open switch FD method was presented in [5]. A model reference adaptive system for permanent magnet synchronous motor (PMSM) drives was used to predict the motor current.…”

Section: Introductionmentioning

confidence: 99%

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

Salehifar¹,

Arashloo²,

Eguilaz³

et al. 2015

Journal of Power Electronics

View full text Add to dashboard Cite

show abstract

“…Two features named means and energy of the Clarke transformed current signal are extracted from each detailed component using DWT as mentioned in (17)- (24). Features from I α after implementation of DWT can be extracted using (17)- (19) whereas features from I β after DWT can be derived using (20)- (22).…”

Section: Feature Extraction Using Discrete Wavelet Transform For Neurmentioning

confidence: 99%

“…Control method was designed based on third harmonic injection. Some other methods were based on the analysis of output voltage of power systems [24,25]. These methods compared the measured and reference voltages to detect faulty switches.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Three Fault Diagnostic Methods for Three Phase Inverter with Induction Motor

Asghar¹,

Talha²,

Kim³

2017

IJFIS

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In recent times, inverters are considered as the basic building block in an electrical drive system used widely in many industrial drive applications. However, the reliability of these inverters is mainly affected by the failure of power electronic switches. Various faults in inverter may influence the system operation by unexpected maintenance, which increases the cost factor and reduce overall efficiency. In this paper, comparative study of three different fault detection and diagnosis systems for three phase inverter is presented. The basic purpose of these fault detection and diagnosis systems is to detect single or multiple faults efficiently. These techniques rely on the neural network for fault detection and diagnosis by using Clarke transformed two-dimensional features extraction, three-dimensional features extraction and features extraction using discrete wavelet transform (DWT) with a different number of features in each technique. Several features are extracted using different mechanisms and used in the neural network as input for fault detection and diagnosis. Furthermore, a simulation study is carried out to analyze the fault detection and diagnosis response of these techniques. Also, a comparative study has been performed by considering fault detection time and accuracy. Comparison results prove the supremacy of three-dimensional feature extraction technique over other two techniques as it can detect and diagnose single, double and triple faults in a single cycle with high accuracy as compared to other two techniques multi-cycles detection.

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“…Currently, the main methodologies applied to the identification of PMSM speed and estimation of rotor position are categorized into the following classes: basic electromagnetic relation based estimation method [9], [10], model reference adaptive system [11][12][13][14], high-frequency injection method [15][16][17][18][19], and nonlinear control theory based method [20][21][22][23]. The estimation method based on observer requires high accuracy of motor parameters, which are actually sensitive to measurement noise.…”

Section: Introductionmentioning

confidence: 99%

New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System

Xiong

Zhang

Jing

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

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Abstract-In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due to the variation of motor temperature. This new sliding-mode observer is designed by using a hyperbolic tangent function instead of sign function together with a variable boundary layer, and the new adaptive law is constructed according to the back electromotive force model to reinforce dynamic performance and the robustness of system. Meanwhile, a stator resistance identification algorithm is raised and guaranteed to be stable by using a Lyapunov method. The performance of the developed observer is compared with the conventional sliding-mode controller. Both simulation and experimental results confirm that the chattering phenomenon is effectively eliminated and the estimation accuracy for position and velocity is apparently improved when applying the developed observer in the electric vehicle drive system.

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An MRAS-Based Diagnosis of Open-Circuit Fault in PWM Voltage-Source Inverters for PM Synchronous Motor Drive Systems

Cited by 235 publications

References 31 publications

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

Comparative Study of Three Fault Diagnostic Methods for Three Phase Inverter with Induction Motor

New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System

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