Fault-tolerant model predictive control of five-phase permanent magnet motors

Author

Arashloo, Ramin Salehi ; Salehifar, Mehdi ; Romeral Martinez, Jose Luis ; Sala, Vicent

Author_Institution

Dept. of Ind. Eng., Univ. Politec. de Catalunya, Barcelona, Spain

fYear

2013

fDate

10-13 Nov. 2013

Firstpage

2857

Lastpage

2862

Abstract

This paper deals with fault tolerant model predictive control (MPC) of five-phase brushless direct current (BLDC) motors. The model of machine is used to estimate the stator currents for the next modulation period, and then, the required voltages are calculated to minimize the current errors. Center aligned five-phase space vector modulation (SVM) is used in the inverter section. The proposed controlling strategy is evaluated via simulations in MATLAB environment.

Keywords

brushless DC motors; fault tolerant control; invertors; machine control; permanent magnet motors; predictive control; stators; BLDC motors; MATLAB environment; MPC; SVM; fault-tolerant model predictive control; five-phase brushless direct current motors; five-phase permanent magnet motors; inverter section; space vector modulation; stator currents; Mathematical model; Permanent magnet motors; Predictive control; Stator windings; Torque; Vectors; Fault tolerant control; multiphase machines; permanent magnet motors; variable speed drives;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE

Conference_Location

Vienna

ISSN

1553-572X

Type

conf

DOI

10.1109/IECON.2013.6699584

Filename

6699584