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State-Space Modeling and Observer-Based Fault Detection in Buck DC-DC Converters

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Satyawan Jagtap
Dagadu More
Published in
Advancements in Embedded System Design and Robotic Applications
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the critical role of state-space modeling and observer-based fault detection in ensuring the reliability of buck DC-DC converters. It explores the dynamic behavior of these converters, focusing on both soft and hard faults, and introduces a state observer designed to generate residuals for fault detection. The study highlights the impact of capacitor ESR on converter performance and presents detailed simulations of various fault scenarios. The research culminates in a model-based approach that effectively identifies faults, enhancing the operational safety and efficiency of buck converters. By analyzing the dynamic behavior under fault conditions, the methodology offers a reliable framework for fault detection, contributing to the development of fault-tolerant power converter systems.
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previous chapter Simulation and Analysis of a Voltage-Mode Controlled Buck Converter for Energy Harvesting Application
next chapter AI-Driven Optimization of a Cascaded H-Bridge 11-Level Converter Using Reinforcement Learning
Title
State-Space Modeling and Observer-Based Fault Detection in Buck DC-DC Converters
Authors
Satyawan Jagtap
Dagadu More
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Advancements in Embedded System Design and Robotic Applications

Print ISBN: 978-981-9699-74-2

Electronic ISBN: 978-981-9699-75-9

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-9975-9_2
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