D4.1. FAULT TOLERANT CONTROL OF SIC/GAN POWER CONVERTERS

This document describes fault-tolerant control strategies for the SiC/GaN power converter and the eMotor of the RHODaS IMD. It outlines control levels within the proposed IMD, details fast response strategies for critical faults managed by the power converter control and defines fault-tolerant control to be implemented by cloud/edge computing for the IMD. The document also addresses potential faults in the power converter and electric motor, discussing feasible fault detection strategies. The document examines the integrated sensors in the system clarifying their functions and the flow of information. Proposed algorithms for fault detection and localization are presented, explaining operational mechanisms and precision. Additionally, the document elaborates on two power converter fault-tolerance algorithms: a derating algorithm and an operating mode change algorithm. In summary, the document provides a comprehensive overview of fault-tolerant control in power converters and IMD, covering various aspects from fault types, sensor networks and algorithmic strategies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-28
DOI
https://doi.org/10.5281/zenodo.17464304
Primary Topic
Plant Taxonomy and Phylogenetics
Type
article
Field-Weighted Citation Impact
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article

D4.1. FAULT TOLERANT CONTROL OF SIC/GAN POWER CONVERTERS

Zenodo (CERN European Organization for Nuclear Research)
Plant Taxonomy and Phylogenetics
article

D4.1. FAULT TOLERANT CONTROL OF SIC/GAN POWER CONVERTERS

article en

Abstract

This document describes fault-tolerant control strategies for the SiC/GaN power converter and the eMotor of the RHODaS IMD. It outlines control levels within the proposed IMD, details fast response strategies for critical faults managed by the power converter control and defines fault-tolerant control to be implemented by cloud/edge computing for the IMD. The document also addresses potential faults in the power converter and electric motor, discussing feasible fault detection strategies. The document examines the integrated sensors in the system clarifying their functions and the flow of information. Proposed algorithms for fault detection and localization are presented, explaining operational mechanisms and precision. Additionally, the document elaborates on two power converter fault-tolerance algorithms: a derating algorithm and an operating mode change algorithm. In summary, the document provides a comprehensive overview of fault-tolerant control in power converters and IMD, covering various aspects from fault types, sensor networks and algorithmic strategies.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 34%
Plant Taxonomy and Phylogenetics
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