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Title:Observer based fault detection in DC-DC power converters
Author(s):Levin, Kieran
Advisor(s):Domínguez-García, Alejandro D.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
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.
Issue Date:2012-05-22
Rights Information:Copyright 2012 Kieran Levin
Date Available in IDEALS:2012-05-22
Date Deposited:2012-05

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