DocumentCode
53339
Title
Adding Inverter Fault Detection to Model-Based Predictive Control for Flying-Capacitor Inverters
Author
Druant, Joachim ; Vyncke, Thomas ; De Belie, Frederik ; Sergeant, Peter ; Melkebeek, Jan
Author_Institution
Dept. of Electr. Energy, Syst. & Autom., Ghent Univ., Ghent, Belgium
Volume
62
Issue
4
fYear
2015
fDate
Apr-15
Firstpage
2054
Lastpage
2063
Abstract
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.
Keywords
circuit reliability; fault diagnosis; invertors; predictive control; semiconductor switches; finite set model based predictive control algorithm; flying capacitor inverter; gate driver; induction motor load; inverter fault detection; linear resistive inductive load; multilevel inverter; open switch fault detection; power electronic switch; single switch open circuit fault; Capacitors; Circuit faults; Fault detection; Inverters; Switches; Vectors; Fault detection; field-programmable gate array (FPGA) implementation; induction machine; model-based predictive control (MBPC); single-switch fault;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2014.2354591
Filename
6891180
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