High-speed parameter estimation algorithms for nonlinear smart materials

Jon M. Ernstberger; Ralph C. Smith

doi:10.1117/12.715763

18 April 2007 High-speed parameter estimation algorithms for nonlinear smart materials

Jon M. Ernstberger, Ralph C. Smith

Proceedings Volume 6523, Modeling, Signal Processing, and Control for Smart Structures 2007; 65230S (2007) https://doi.org/10.1117/12.715763
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

A fundamental step in the model construction for ferroelectric, ferromagnetic, and ferroelastic materials is the estimation or identification of material parameters given measurements of the material response. Moreover, actuator and/or material properties may be a function of operating conditions which can necessitate the re-estimation of parameters if conditions change significantly. In this paper, we focus on the development of highly robust and efficient identification algorithms for use in industrial, aeronautic and aerospace applications. Following a discussion of present and future applications, we summarize the homogenized energy model used to characterize hysteresis and constitutive nonlinearities in these compounds. We next discuss the parameter estimation problem and detail algorithms used to speed implementation. The validity of the framework is illustrated through comparison with experimental data.

Citation Download Citation

Jon M. Ernstberger and Ralph C. Smith "High-speed parameter estimation algorithms for nonlinear smart materials", Proc. SPIE 6523, Modeling, Signal Processing, and Control for Smart Structures 2007, 65230S (18 April 2007); https://doi.org/10.1117/12.715763

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