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Identification of Hysteresis Functions Using a Multiple Model Approach

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date20/08/2001
Host publicationMultisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on
Pages153 - 158
Number of pages6
Original languageEnglish

Conference

ConferenceInternational Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI' 2001)
CityBaden-Baden, Germany
Period20/08/0121/08/01

Conference

ConferenceInternational Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI' 2001)
CityBaden-Baden, Germany
Period20/08/0121/08/01

Abstract

This paper considers the identification of static hysteresis functions which describe phenomena in mechanical systems, piezoelectric actuators and materials. A solution based on a model with a parallel structure of elementary models (with switching) and the Interacting Multiple Model (IMM) approach is proposed. For each elementary model a separate IMM estimator is implemented. The estimated parameters represent a fusion of values from preset grids, weighted by the IMM mode probabilities. The estimated state of each elementary model is a fusion of the estimated states (from the separate Kalman filters) weighted by the IMM probabilities. The nonlinear identification problem is reduced to a linear one. Results from simulation experiments are presented.

Bibliographic note

pp. 153-158