Identification and compensation of Preisach hysteresis models for magnetostrictive actuators

The paper proposes the identification and compensation of the hysteretic behavior of an actuator constituted by a Terfenol-D magnetostrictive material. Hysteresis, is modeled by applying the classical Preisach model whose identification procedure is performed by the adoption of both a fuzzy approximator and a feed-forward neural network. This allows to analytically reconstruct either Everett integrals and the Preisach distribution function, without any special smoothing of the measured data, owing to the filtering capabilities of the neuro-fuzzy interpolators. The idea of pseudo-compensator is introduced for compensation of hysteresis and nonlinearity of a magnetostrictive actuator. (C) 2001 Elsevier Science B.V. All rights reserved.