Abstract:AbstractThis study focuses on the development of a robust Petri-fuzzy-neural-network (PFNN) control strategy to a linear induction motor (LIM) drive for periodic motion. Based on the concept of the nonlinear state feedback theory, a feedback linearization control (FLC) system is first adopted in order to decouple the thrust force and the flux amplitude of the LIM. However, particular system information is required in the FLC system so that the corresponding control performance is influenced seriously by the u… Show more
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