Title :
Fault-tolerant control of six-phase induction machines using combined fuzzy logic and genetic algorithms
Author :
Betin, F. ; Moghadasian, M. ; Lanfranchi, V. ; Capolino, Gerard-Andre
Author_Institution :
Univ. Picardie “Jules Verne”, France
Abstract :
In this paper, an advanced control technique using fuzzy logic tuned by a genetic algorithm is proposed in order to obtain a high accuracy positioning of a six-phase induction machine. The proposed control scheme is fully insensitive to mechanical configuration changes as well to loss of one up to three phases. The effectiveness of the method has been validated experimentally using a dedicated set-up based on a 90W-2 pole squirrel-cage induction machine and a 42V dc bus.
Keywords :
asynchronous machines; fault tolerance; fuzzy logic; genetic algorithms; machine control; squirrel cage motors; 2 pole squirrel-cage induction machine; combined fuzzy logic; dc bus; fault-tolerant control; genetic algorithms; mechanical configuration; power 90 W; six-phase induction machines; voltage 42 V; Genetic algorithms; Induction machines; Manganese; Mathematical model; Rotors; Stators; Tin; Digital controllers; Fault-tolerant control; Field-oriented control; Fuzzy logic; Genetic algorithms; Induction machine; Multiphase induction machine; Robustness;
Conference_Titel :
Electrical Machines Design Control and Diagnosis (WEMDCD), 2013 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4673-5656-5
Electronic_ISBN :
978-1-4673-5657-2
DOI :
10.1109/WEMDCD.2013.6525174
