DocumentCode :
666184
Title :
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
Link To Document :
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