Current based open-circuit fault diagnosis and fault-tolerant control for two-level power converters with direct model predictive control

Zhenbin Zhang, Kejun Cai, Ralph Kennel

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

4 Scopus citations

Abstract

Model predictive control (MPC) is a promising alternative for power electronics and electric drives. Research on fault diagnosis and fault-tolerant control for power converters with MPC is insufficient. Accurate fault diagnosis and fault-tolerant control solutions with easy implementation are very desirable. In this work we propose a novel current based fault diagnosis method of one-and two-phase open-circuit fault of machine-side converter in advanced back-to-back four-quadratic drive topologies, which is highly immunized from false alarm. The fault-tolerant control scheme can be easily embedded into normal MPC control algorithm. Simulation results validate the feasibility of proposed fault diagnosis and fault-tolerant control methods.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3179-3184
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

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