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Fault diagnosis algorithm based on switching function for boost converters

Fault diagnosis algorithm based on switching function for boost converters
Cho, Hyun KiKwak, Sang ShinLee, Seonghun
DGIST Authors
Lee, Seonghun
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Article Type
BOOST ConverterCircuit ConfigurationsDC-DC Boost ConverterDC-DC ConvertersDiagnosis AlgorithmsDiscontinuous CurrentFault DetectionFault Diagnosis AlgorithmInductor CurrentsLearning AlgorithmsOpen- and Short-Circuit FaultsOpen-Circuit FaultPower Conversion SystemsReliabilityShort-Circuit FaultSwitching Functions
A fault diagnosis algorithm, which is necessary for constructing a reliable power conversion system, should detect fault occurrences as soon as possible to protect the entire system from fatal damages resulting from system malfunction. In this paper, a fault diagnosis algorithm is proposed to detect open- and short-circuit faults that occur in a boost converter switch. The inductor voltage is abnormally kept at a positive DC value during a short-circuit fault in the switch or at a negative DC value during an open-circuit fault condition until the inductor current becomes zero. By employing these abnormal properties during faulty conditions, the inductor voltage is compared with the switching function to detect each fault type by generating fault alarms when a fault occurs. As a result, from the fault alarm, a decision is made in response to the fault occurrence and the fault type in less than two switching time periods using the proposed algorithm constructed in analogue circuits. In addition, the proposed algorithm has good resistivity to discontinuous current-mode operation. As a result, this algorithm features the advantages of low cost and simplicity because of its simple analogue circuit configuration. © 2014 © 2014 Taylor & Francis.
Taylor and Francis Ltd.
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Convergence Research Center for Future Automotive Technology 1. Journal Articles


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