Analysis and fault-tolerant control of inter-turn short-circuit fault for five-phase permanent-magnet synchronous machine

Zheng, Zaiping; Li, Qiqi; Li, Xuyang; Zheng, Ping; Wang, Kaichun; Cui, Pei

doi:10.1016/j.egyr.2022.05.123

Cited by 5 publications

(6 citation statements)

References 20 publications

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“…Set the value of the initial quadratic penalty factor  to the Nyquist sampling frequency 0 f of the signal, and choose the optimization range of the quadratic penalty factor  to be   0 0 ,10 f f . Based on the above analysis, the signal is first decomposed using the EMD algorithm to obtain 8 IMFs, thus the optimal range for the decomposition mode number k is specified as [4,16] . In combination with the sampling frequency of the torque fluctuation signal, the optimization range for  is specified as [80000,800000] .…”

Section: (B)mentioning

confidence: 99%

“…Firstly, the EMD algorithm is applied to process the vibration signal and 8 IMFs are obtained, thus assigning an optimization range [4,16] to the decomposition mode number k . Taking into account the sampling frequency, the optimization range for  is specified as [600, 6000].…”

Section: B Analysis Of Measured Vibration Signalmentioning

confidence: 99%

“…The parameters for other optimization algorithms are set as follows: the iteration number is 60, the population number is 30. In addition, the optimization range of k is set as [4,16]; the optimization range of  is set as [600, 6000]. The convergence curve and normalized running time for each optimization algorithm are given in Fig.…”

Section: Performance Analysis Of Optimization Algorithmsmentioning

confidence: 99%

“…The severe operating conditions could shorten their service life or lead to premature damage. Statistics show that short circuit faults are more likely to occur among the motor faults [1][2][3][4][5]. PMSMs usually operate with high loads for long periods, and the body temperature is usually high, which tend to reduce the insulation in the stator winding coils.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Parameter Selection Variational Mode Decomposition Based on Bayesian Optimization and Its Application to the Detection of ITSC in PMSM

Xia,

Wang,

2024

IEEE Access

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Permanent magnet synchronous motor (PMSM) is a vital component of modern industry which is widely used in transport, aerospace and intelligent machinery. In the light of its relatively high frequency of inter-turn short circuit (ITSC) fault, it is valuable to detect the fault accurately and efficiently. Due to the convenience of motor vibration signal measurement, more attention has been paid to fault detection methods based on vibration signal. As a nonstationary, nonlinear signal, vibration signal is highly susceptible to external noise interference. Variational mode decomposition (VMD) has a wide range of applications in the field of nonlinear signal analysis, but the processing ability to the signal is affected by the parameter setting. Hence, a Bayesian optimized adaptive parameter selection variational mode decomposition (BOAPS-VMD) signal processing method is proposed and applied to detect the ITSC in PMSM. Firstly, the motor vibration signal is decomposed through BOAPS-VMD, and the intrinsic mode functions (IMFs) are obtained. Secondly, the cumulative variance contribution rate (C-VCR) is applied to identify the IMFs that contain fault signature information. Finally, using Hilbert transform (HT) to further analyze the IMFs that are identified. The results are output in 3D time-frequency diagrams to enhance the representation of fault signatures. The effectiveness and accuracy of the BOAPS-VMD were validated through the finite element simulation and experiment. The study shows that the BOAPS-VMD effectively improves the modal mixing phenomenon, has better noise robustness, improves the accuracy of fault detection, and has better engineering applicability.INDEX TERMS Permanent magnet synchronous motor (PMSM), fault detection, variational mode decomposition (VMD), Bayesian optimization, Hilbert transform (HT)

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Section: (B)mentioning

confidence: 99%

Section: B Analysis Of Measured Vibration Signalmentioning

confidence: 99%

Section: Performance Analysis Of Optimization Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Parameter Selection Variational Mode Decomposition Based on Bayesian Optimization and Its Application to the Detection of ITSC in PMSM

Xia,

Wang,

2024

IEEE Access

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“…The study of ITSF mainly includes fault characterization and fault diagnosis (Ullah and Hur, 2019; Lee et al , 2020). The fault mechanism of ITSF was analyzed by Zheng et al (2022); the characteristics of phase voltage were compared by using phase winding open-circuit method and phase winding short-circuit method. Zhu et al (2019) used a wavelet method to analyze the stator current under faults in permanent magnet synchronous motors and verified the correctness of the method experimentally.…”

Section: Introductionmentioning

confidence: 99%

The influence of ITSF on vibration of high voltage Line-Start permanent magnet synchronous motor

Yang,

Chen,

Qiao

et al. 2024

COMPEL

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Purpose The purpose of this paper is to present the influence of inter-turn short circuit faults (ITSF) on electromagnetic vibration in high-voltage line-starting permanent magnet synchronous motor (HVLSPMSMS). Design/methodology/approach In this paper, the ampere–conductor wave model of HVLSPMSM after ITSF is established. Second, a mathematical model of the magnetic field after ITSF is established, and the influence law of the ITSF on the air-gap magnetic field is analyzed. Further, the mathematical expression of the electromagnetic force density is established based on the Maxwell tensor method. The impact of HVLSPMSM torque ripple frequency, radial electromagnetic force spatial–temporal distribution and rotor unbalanced magnetic tension force by ITSF is revealed. Finally, the electromagnetic–mechanical coupling model of HVLSPMSM is established, and the vibration spectra of the motor with different degrees of ITSF are solved by numerical calculation. Findings In this study, it is found that the 2np order flux density harmonics and (2 N + 1) p order electromagnetic forces are not generated when ITSF occurs in HVLSPMSM. Originality/value By analyzing the multi-harmonics of HVLSPMSM after ITSF, this paper provides a reliable method for troubleshooting from the perspective of vibration and torque fluctuation and rotor unbalanced electromagnetic force.

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Active fault-tolerant control for asynchronous machines using EKF-based fault estimation and 3-H-bridge inverter mitigation of ITSCs

Bellali,

Makhloufi,

Belbekri

et al. 2024

AIP Advances

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This paper introduces an active fault-tolerant control system designed to effectively detect and mitigate inter-turn short-circuit (ITSC) faults in asynchronous machines. Utilizing the extended Kalman filter, the system precisely estimates electrical parameters, including resistances and inductances, crucial for identifying such faults. By integrating these estimations into the control mechanism, the system dynamically detects, isolates, and adjusts control laws based on fault severity assessments. The proposed controller, built upon an accurate three-phase faulty model, not only addresses torque ripple issues but also incorporates a 3-H-bridge inverter to manage current imbalances, particularly in degraded operating conditions. To evaluate its efficacy and robustness, comprehensive numerical simulations were conducted using MATLAB/SIMULINK. Results validate the effectiveness of the proposed control approach in ensuring the uninterrupted safe operation of asynchronous motors, even in the presence of ITSC faults, presenting a promising solution for enhancing fault tolerance in industrial settings. Further exploration is warranted to assess its real-world applicability and potential limitations across diverse operational scenarios. This system’s implementation promises practical benefits by bolstering operational reliability and safety in industrial machinery, contributing to improved workforce safety and reduced downtime, thus offering significant social advantages.

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Analysis and fault-tolerant control of inter-turn short-circuit fault for five-phase permanent-magnet synchronous machine

Cited by 5 publications

References 20 publications

Adaptive Parameter Selection Variational Mode Decomposition Based on Bayesian Optimization and Its Application to the Detection of ITSC in PMSM

Adaptive Parameter Selection Variational Mode Decomposition Based on Bayesian Optimization and Its Application to the Detection of ITSC in PMSM

The influence of ITSF on vibration of high voltage Line-Start permanent magnet synchronous motor

Active fault-tolerant control for asynchronous machines using EKF-based fault estimation and 3-H-bridge inverter mitigation of ITSCs

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