Title :
Fault location in matrix converters using low frequency modulation matrices for SVM based modulation techniques
Author :
Brunson, C. ; de Lillo, L. ; Empringham, L. ; Wheeler, P. ; Clare, J.
Author_Institution :
Electr. Syst. & Opt. Res. Div., Univ. of Nottingham, Nottingham, UK
Abstract :
With the increasing interest in matrix converter technology, in industrial, aerospace and military applications, it is desirable for these converters to continue to operate in faulty conditions. Albeit with diminished performance in some regard. However for continued operation it is necessary to localise any converter faults quickly and accurately. This paper presents a low frequency modulation table based fault localisation system for matrix converters using Space Vector Modulation (SVM). With the fault detection system implemented as a fuzzy inference system.
Keywords :
fault diagnosis; fault location; frequency modulation; matrix convertors; SVM; aerospace application; fault condition; fault localisation system; frequency modulation matrix; industrial application; matrix converter; military application; space vector modulation; Frequency conversion; Frequency modulation; Irrigation; Matrix converters; Phase distortion; Switches; Electrical fault detection; Matrix converters;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389087