Adding Inverter Fault Detection to Model-Based Predictive Control for Flying-Capacitor Inverters

As inverters are often used in critical applications, reliability is an important issue. In particular, the power electronic switches and gate drivers, the most essential components of the inverter, are vulnerable parts in real live operation. Therefore, this paper focuses on open-switch fault detec...

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Vydané v:IEEE transactions on industrial electronics (1982) Ročník 62; číslo 4; s. 2054 - 2063
Hlavní autori: Druant, Joachim, Vyncke, Thomas, De Belie, Frederik, Sergeant, Peter, Melkebeek, Jan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.04.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Capacitors
Circuit faults
Computer simulation
Control algorithms
Fault detection
Inverters
Switches
Vectors
field-programmable gate array (FPGA) implementation
induction machine
model-based predictive control (MBPC)
Fault detection
single-switch fault
ISSN:0278-0046, 1557-9948
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Popis
Shrnutí:As inverters are often used in critical applications, reliability is an important issue. In particular, the power electronic switches and gate drivers, the most essential components of the inverter, are vulnerable parts in real live operation. Therefore, this paper focuses on open-switch fault detection for multilevel inverters. When a single-switch open-circuit fault occurs in one of the power electronic switches, the algorithm can detect the fault and the switch that is causing it. The detection is worked out for both a linear resistive inductive load and an induction motor. The proposed algorithm is an extension of an already available finite-set model-based predictive control algorithm. Therefore, no extra hardware or measurements are required. This paper also discusses a suggested method for reconfiguration after fault detection. Computer simulation and experimental verifications validate the proposed methods.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2014.2354591