{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/31077"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/31077","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Observer based fault detection in DC-DC power converters","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Levin, Kieran"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Domínguez-García, Alejandro D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-05-22T00:26:29Z","date_published":"2012-05-22T00:26:29Z","updated_at":"2026-07-22T22:25:30Z","subjects":["Observer","Fault Detection","Buck Converter","digital signal processor (DSP)"],"languages":["en"],"rights":["Copyright 2012 Kieran Levin"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/31077","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Domínguez-García, Alejandro D."]},{"key":"dc:creator","label":"Author","values":["Levin, Kieran"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2012-05-22T00:26:29Z","2012-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Observer","Fault Detection","Buck Converter","digital signal processor (DSP)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2012 Kieran Levin"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/31077"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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. 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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. 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