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
Link To Document :
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