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Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

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EPSR-D-15-00184R1.pdf (3,211Mb)
 
10.1016/j.epsr.2015.10.030
 
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Cita com:
hdl:2117/86292

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Salehifar, Mehdi
Moreno Eguilaz, Juan ManuelMés informacióMés informacióMés informació
Putrus, Ghanim
Barras, Peter
Document typeArticle
Defense date2016-03-01
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Multiphase brushless direct current (BLDC) motors can meet the increasing demand for higher reliabilityin motor drives applicable in electric vehicles by integrating fault diagnosis to a fault-tolerant (FT) controlmethod. To achieve this goal, a modified FT finite control set model predictive control (FCS–MPC) is pro-posed in this paper. The dead beat control is used to predict the reference voltage applied by the inverter.A sensitivity analysis is done to show the effect of model uncertainty on the controller performance. Inaddition, a simple, fast and general open switch and short circuit fault detection (FD) method in voltagesource inverter (VSI) is presented. The FD method is capable of detecting open switch, open phase, andshort circuit faults without any auxiliary variable. Moreover, it is robust to both speed and load transientsin a motor drive. To validate the presented theory, experimental results are conducted on a five-phaseBLDC motor drive with outer rotor in wheel structure.
CitationSalehifar, M., Moreno-Eguilaz, J.M., Putrus , G., Barras , P. Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive. "Electric power systems research", 01 Març 2016, vol. 132, núm. March, p. 56-66. 
URIhttp://hdl.handle.net/2117/86292
DOI10.1016/j.epsr.2015.10.030
ISSN0378-7796
Publisher versionhttp://www.journals.elsevier.com/electric-power-systems-research/
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  • MCIA - Motion Control and Industrial Applications Research Group - Articles de revista [219]
  • Departament d'Enginyeria Electrònica - Articles de revista [1.658]
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