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

Salehifar, Mehdi, Moreno-Eguilaz, Manuel, Putrus, Ghanim and Barras, Peter (2016) 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, 132. pp. 56-66. ISSN 0378-7796

[img]
Preview
Text (Article)
EPSR-D-15-00184R2_Final Version submitted.pdf - Accepted Version

Download (1MB) | Preview
Official URL: http://dx.doi.org/10.1016/j.epsr.2015.10.030

Abstract

Multiphase brushless direct current (BLDC) motors can meet the increasing demand for higher reliability in motor drives applicable in electric vehicles by integrating fault diagnosis to a fault-tolerant (FT) control method. To achieve this goal, a modified FT finite control set model predictive control (FCS–MPC) is proposed 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. In addition, a simple, fast and general open switch and short circuit fault detection (FD) method in voltage source inverter (VSI) is presented. The FD method is capable of detecting open switch, open phase, and short circuit faults without any auxiliary variable. Moreover, it is robust to both speed and load transients in a motor drive. To validate the presented theory, experimental results are conducted on a five-phase BLDC motor drive with outer rotor in wheel structure.

Item Type: Article
Uncontrolled Keywords: fault detection, multiphase fault-tolerant drive, BLDC motor, finite control set model predictive control
Subjects: H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Ghanim Putrus
Date Deposited: 23 Dec 2015 09:30
Last Modified: 01 Aug 2021 12:00
URI: http://nrl.northumbria.ac.uk/id/eprint/25224

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics