Positioning System Based on Electromagnetic Levitation Using Fuzzy Learning Control

Adrian-Vasile Duka, Mihail Abrudean, Mircea Dulau

Abstract


This paper describes the design and implementation of a positioning system based on
electromagnetic levitation which uses a learning Fuzzy-PD control strategy. Electromagnetic
levitation exhibits nonlinear force-current-distance characteristics, and if controllers are to be
designed by using linear analysis, the air gap is restricted to a small region around the chosen
operating point. In this work, an attempt has been made to improve the operating range and the
trajectory tracking capabilities of an electromagnetic suspension system by adding a
learning/adaptive mechanism to a direct Fuzzy-PD controller, developed earlier to stabilize the
system around a single operating point.

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