Cascaded H-bridge multilevel inverter drives operating under faulty condition with AI-based fault diagnosis and reconfiguration

Surin Khomfoi, Leon M. Tolbert, Burak Ozpineci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

The ability of cascaded H-bridge multilevel inverter drives (MLID) to operate under faulty condition including Al-based fault diagnosis and reconfiguration system is proposed in this paper. Output phase voltages of a MLID can be used as valuable information to diagnose faults and their locations. It is difficult to diagnose a MLID system using a mathematical model because MLID systems consist of many switching devices and their system complexity has a nonlinear factor. Therefore, a neural network (NN) classification is applied to the fault diagnosis of a MLID system. Multilayer perceptron (MLP) networks are used to identify the type and location of occurring faults. The principal component analysis (PCA) is utilized in the feature extraction process to reduce the NN input size. A lower dimensional input space will also usually reduce the time necessary to train a NN, and the reduced noise may improve the mapping performance. The genetic algorithm (GA) is also applied to select the valuable principal components to train the NN. A reconfiguration technique is also proposed. The proposed system is validated with simulation and experimental results. The proposed fault diagnostic system requires about 6 cycles (∼100 ms at 60 Hz) to clear an open circuit and about 9 cycles (∼150 ms at 60 Hz) to clear a short circuit fault. The experiment and simulation results are in good agreement with each other, and the results show that the proposed system performs satisfactorily to detect the fault type, fault location, and reconfiguration.

Original languageEnglish
Title of host publicationProceedings of IEEE International Electric Machines and Drives Conference, IEMDC 2007
Pages1649-1656
Number of pages8
DOIs
StatePublished - 2007
EventIEEE International Electric Machines and Drives Conference, IEMDC 2007 - Antalya, Turkey
Duration: May 3 2007May 5 2007

Publication series

NameProceedings of IEEE International Electric Machines and Drives Conference, IEMDC 2007
Volume2

Conference

ConferenceIEEE International Electric Machines and Drives Conference, IEMDC 2007
Country/TerritoryTurkey
CityAntalya
Period05/3/0705/5/07

Keywords

  • Fault diagnosis
  • Fault tolerance
  • Genetic algorithm
  • Multilevel inverter
  • Neural network
  • Power electronics

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