Higher-Order Sliding Mode Based High-Resistance Fault-Control in PMSM Drives

Kommuri, Suneel Kumar; Park, Yonghyun; Lee, Sang Bin

doi:10.1109/isie.2019.8781098

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…High-resistance failure recognition has been a difficult problem for grid failure detection, and its failure feature includes a series of complex physical phenomena such as weak failure current, long failure duration, and high harmonic content caused. Since the changes in electrical quantities caused by its failures are extremely insignificant, it is obviously unrealistic to use the currents at different sides of the line for high-resistance failure recognition [16][17] .…”

Section: Correlation Analysis Under High Resistance Faultsmentioning

confidence: 99%

DC line fault discrimination based on maximum information coefficient

Yu,

Dou,

Chen

et al. 2023

J. Phys.: Conf. Ser.

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In DC networks, conventional line differential protection has the disadvantages of low reliability, weak resistance to transition resistance, and vulnerable to harmonic interference. In this paper, a fault identification method based on maximal information coefficient (MIC) is proposed for non-high resistance faults in the DC side of a flexible DC distribution network containing a modular multilevel converter (MMC) with single pole grounding DC protection inside and outside segments. The failure prediction is performed based on the reciprocal information at two sides of the line current. At the same time, for single-pole grounded high-resistance faults, the MIC is compared using the zero moduli of the current at two sides of the line for the recognition of high-resistance faults. The MMC-based flexible DC transmission network model is built and validated in the PSCAD/EMTDC platform. The results show that the method can identify faults protection inside and outside segments on the DC line area quickly and reliably. It also has the ability to resist harmonic interference and has an endurance of resistance for single-pole faults on the DC side; meanwhile, for high-resistance faults, it can also be detected accurately.

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Section: Correlation Analysis Under High Resistance Faultsmentioning

confidence: 99%

DC line fault discrimination based on maximum information coefficient

Yu,

Dou,

Chen

et al. 2023

J. Phys.: Conf. Ser.

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Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis

Song,

Han,

et al. 2024

IEEE Trans. Instrum. Meas.

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High Resistance Fault-Detection and Fault-Tolerance for Asymmetrical Six-Phase Surface-Mounted AC Permanent Magnet Synchronous Motor Drives

et al. 2020

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In the last decade, the interest for higher reliability in several industrial applications has boosted the research activities in multiphase permanent magnet synchronous motors realized by multiple three-phase winding sets. In this study, a mathematical model of an asymmetric surface-mounted six-phase permanent magnet synchronous motor under high resistance connections was developed. By exploiting the intrinsic properties of multiphase machines in terms of degrees of freedom, an improved field-oriented control scheme is presented that allows online fault detection and a quite undisturbed operating condition of the machine under high resistance connections. More specifically, the proposed strategies for online fault-detection and fault-tolerance are based on the use of multi-reference frame current regulators. The feasibility of the proposed approach was theoretically analyzed, then confirmed by numerical simulations. In order to validate experimentally the proposed strategies, the entire control system was implemented using TMS-320F2812 based platform.

show abstract

Higher-Order Sliding Mode Based High-Resistance Fault-Control in PMSM Drives

Cited by 3 publications

References 21 publications

DC line fault discrimination based on maximum information coefficient

DC line fault discrimination based on maximum information coefficient

Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis

High Resistance Fault-Detection and Fault-Tolerance for Asymmetrical Six-Phase Surface-Mounted AC Permanent Magnet Synchronous Motor Drives

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