Fault diagnosis in three-phase power inverters using multiple-model kalman filter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a multiple-model Kalman filter (MMKF) approach is utilized to design fault detection and identification (FDI) filters for three-phase power inverters with L filters. The MMKF approach has the advantage that it can be applied to both linear and nonlinear systems. The MMKF-based FDI filters are designed for inverter component (inductance and resistance) and current sensor faults. Simulation results for a three-phase inverter model verify the effectiveness of the proposed filters.

Original languageEnglish (US)
Title of host publication2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages907-910
Number of pages4
ISBN (Electronic)9781538693490
DOIs
StatePublished - May 2019
Event11th IEEE International Electric Machines and Drives Conference, IEMDC 2019 - San Diego, United States
Duration: May 12 2019May 15 2019

Publication series

Name2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019

Conference

Conference11th IEEE International Electric Machines and Drives Conference, IEMDC 2019
Country/TerritoryUnited States
CitySan Diego
Period5/12/195/15/19

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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