University of Illinois Urbana-Champaign

Observer based fault detection in DC-DC power converters

Levin, Kieran

Content Files
Levin_Kieran.pdf

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https://hdl.handle.net/2142/31077

Description

Title
Observer based fault detection in DC-DC power converters
Author(s)
Levin, Kieran
Issue Date
2012-05-22T00:26:29Z
Director of Research (if dissertation) or Advisor (if thesis)
Domínguez-García, Alejandro D.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2012-05-22T00:26:29Z
Keyword(s)
  • Observer
  • Fault Detection
  • Buck Converter
  • digital signal processor (DSP)
Abstract
Power electronics today are limited in their operational lifetimes, which can have negative consequences for critical systems which depend on power electronic to stay functional. To help mitigate the effects of system failures due to power electronics, a fault detection filter has been implemented to detect both hard and soft faults in the power supply, while determining how much load the supply can power while staying in specification in its reduced operating state allowing reduced system operation or maintenance. In this thesis, we study the effectiveness of such filters by testing them in a hardware testbed. This testbed is comprised of a dc-dc buck converter. The detection filters for monitoring the health of the components in this dc-dc converter, as well as the converter controls, are implemented in a low-cost DSP. Using a lossy converter model which runs in real time on the DSP, the model is continuously compared to the actual converter states generating an error signal which can be used to characterize both the nature of the fault and fault magnitude. A dc-dc converter is controlled by a TMS320F28335 DSP which runs the fault detection filter. The fault detection filter uses an explicit solver with a variable time step to compute the filter residuals, allowing for accurate fault detection on low cost hardware.
Graduation Semester
2012-05
Permalink
http://hdl.handle.net/2142/31077
Copyright and License Information
Copyright 2012 Kieran Levin

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