Fault-tolerant control of six-phase induction machines using combined fuzzy logic and genetic algorithms

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.