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

fYear

2013

fDate

11-12 March 2013

Firstpage

138

Lastpage

147

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WEMDCD.2013.6525174

Filename

6525174