Model predictive direct torque with fault tolerance control for a permanent magnet synchronous generator based on Vienna rectifier

Yip, Sook Yee and Yong, Dek Wei and Yiauw, Kah Haur and Tan, Xiao Jian and Wong, Jorinda Yuh Ruh (2022) Model predictive direct torque with fault tolerance control for a permanent magnet synchronous generator based on Vienna rectifier. IEEE Access, 10. pp. 94998-95007. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2022.3204809.

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Abstract

This paper presents the fault tolerance of model predictive direct torque control for a permanent magnet synchronous generator under a faulty Vienna rectifier. The fault applied includes open-switch and short-switch fault in a particular active switching device of the Vienna rectifier. The measured input current is used in the proposed fault diagnosis approach to detect the switch fault's position without any additional hardware being implemented. Whenever a switching fault occurs at any phase of the Vienna rectifier, the available switching vectors for prediction control are reduced from five to four. The feasibility and effectiveness of the proposed fault tolerance model predictive direct torque control under a faulty Vienna rectifier are demonstrated and investigated through MATLAB/Simulink. The results show that it is feasible for the proposed method to be operated under a short-switch fault with slightly higher total harmonics distortion of the input current but out of control under an open-switch fault.

Item Type: Article
Funders: Centre for Multimodal Signal Processing, Department of Electrical and Electronics Engineering, Tunku Abdul Rahman University College
Uncontrolled Keywords: Switches; Rectifiers; Predictive models; Torque; Fault diagnosis; Stators; Voltage control; Permanent magnet motors; Synchronous motors; Fault diagnosis and tolerance control; Model predictive direct torque control; Permanent magnet synchronous generator; Power converter faults; Vienna rectifier
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Deputy Vice Chancellor (Research & Innovation) Office > UM Power Energy Dedicated Advanced Centre
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 06 Nov 2023 05:56
Last Modified: 06 Nov 2023 05:56
URI: http://eprints.um.edu.my/id/eprint/41500

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