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Degree:Doctoral Degree in Engineering
School/Department:College of Automation Engineering

谢少军

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Education Level:南京航空航天大学

Paper Publications

Diagnosis Method for Submodule Failures in Modular Multilevel Converter Based on Incremental Predictive Model
Date of Publication:2018-11-05 Hits:

Affiliation of Author(s):自动化学院
Journal:Zhongguo Dianji Gongcheng Xuebao
Abstract:The robustness of the fault diagnosis method based on the model was analyzed for the Modular Multilevel converters. The faults were detected by means of comparing the average value of the difference between the predictive value and the measured value with the threshold value using the incremental predictive model, and the faults were located by comparing the difference between the capacitor voltage of submodule and the average voltage of submodules with the threshold value. The incremental predictive model of the circulating current was established. In order to improve the robustness of fault detecting, correction method, multi-step prediction method and three-stage compensation method were proposed to compensate the uncertainties of the parameter and the measurement errors, and eliminate disturbances. The principle of parameter design for the fault diagnosis method was given. The experiment results using single-phase MMC prototype with four SMs per arm verify that the proposed method is characterized by strong robustness. © 2018 Chin. Soc. for Elec. Eng.
ISSN No.:0258-8013
Translation or Not:no
Date of Publication:2018-11-05
Co-author:Xu, Kunshan
Correspondence Author:xsj
Date of Publication:2018-11-05