A comparative study of a PI, neural network and fuzzy genetic approach controllers for an AC-drive

An increasing number of applications in high performing electrical drive systems use, nowadays, squirrel-cage induction motors. In this paper we use fuzzy genetic, neural network and PI approaches to control the speed of a field oriented AC-drive. The control methods and performances are presented and compared.

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