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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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.