Share Email Print

Proceedings Paper

Energy formulation for Preisach models
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Preisach models formulated in terms of density or measure-based expansions have proven highly successful for characterizing hysteresis and constitutive nonlinearities in materials where the underlying physics is difficult to quantify. This provides a rich mathematical framework for characterizing nonlinear material behavior as well as a framework which facilitates either full or approximate inversion for linear control design. However, the lack of an energy basis for Preisach representations yields models which often have a large number of parameters and are difficult to update to accommodate changing operating conditions (e.g., temperature) since the model parameters are not correlated with physical quantities. Moreover, it is difficult in general to incorporate the frequency-dependence exhibited by essentially all smart materials without resorting to vector-valued parameters or measures which much be identified throughout the range of operation for the system. In this paper, we develop an energy formulation for Preisach models through consideration of appropriate Gibbs and Helmholtz free energy representations. This permits the incorporation of frequency and temperature-dependence in the underlying basis, rather than in parameters identified for a specific system which expands significantly the flexibility of the technique.

Paper Details

Date Published: 10 July 2002
PDF: 10 pages
Proc. SPIE 4693, Smart Structures and Materials 2002: Modeling, Signal Processing, and Control, (10 July 2002); doi: 10.1117/12.475212
Show Author Affiliations
Ralph C. Smith, North Carolina State Univ. (United States)
Stefan Seelecke, North Carolina State Univ. (United States)

Published in SPIE Proceedings Vol. 4693:
Smart Structures and Materials 2002: Modeling, Signal Processing, and Control
Vittal S. Rao, Editor(s)

© SPIE. Terms of Use
Back to Top