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Journal ArticleDOI

Preisach modeling of piezoceramic and shape memory alloy hysteresis

TLDR
In this paper, the authors apply the Preisach model for the hysteresis in piezoceramic and shape memory alloys (SMAs), and present experimental results for actuators bonded to a flexible aluminum beam and a Nitinol SMA wire muscle.
Abstract
Smart materials such as piezoceramics, magnetostrictive materials, and shape memory alloys exhibit hysteresis, and the larger the input signal the larger the effect. Hysteresis can lead to unwanted harmonics, inaccuracy in open loop control, and instability in closed loop control. The Preisach independent domain hysteresis model has been shown to capture the major features of hysteresis arising in ferromagnetic materials. Noting the similarity between the microscopic domain kinematics that generate static hysteresis effects in ferromagnetics, piezoceramics, and shape memory alloys (SMAs), we apply the Preisach model for the hysteresis in piezoceramic and shape memory alloy materials. This paper reviews the basic properties of the Preisach model, discusses control-theoretic issues such as identification, simulation, and inversion, and presents experimental results for piezoceramic sheet actuators bonded to a flexible aluminum beam, and a Nitinol SMA wire muscle that applies a bending force to the end of a beam.

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Citations
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Journal ArticleDOI

Tracking control of a piezoceramic actuator with hysteresis compensation using inverse Preisach model

TL;DR: In this paper, the classical preisach hysteresis modeling and tracking control of a curved pre-stressed piezoceramic patch actuator system with severe hystresis is presented.
Journal ArticleDOI

Bouc–Wen Modeling and Inverse Multiplicative Structure to Compensate Hysteresis Nonlinearity in Piezoelectric Actuators

TL;DR: A new approach to compensate the strong hysteresis nonlinearity in piezoelectric materials is proposed, based on the inverse multiplicative scheme, which avoids models inversion as employed in existing works.
Journal ArticleDOI

An Analytical Generalized Prandtl–Ishlinskii Model Inversion for Hysteresis Compensation in Micropositioning Control

TL;DR: In this paper, the analytical inverse of a generalized Prandtl-Ishlinskii model is formulated to compensate for hysteresis nonlinearities of smart actuators.
Book ChapterDOI

Hysteresis in Piezoelectric and Ferroelectric Materials

TL;DR: In this paper, the hysteresis of piezoelectric ferroelectric materials is investigated in the context of the construction of a ferroelectric ferromagnetic circuit.
Journal ArticleDOI

A generalized Prandtl–Ishlinskii model for characterizing the hysteresis and saturation nonlinearities of smart actuators

TL;DR: In this paper, the application of a generalized play operator capable of characterizing symmetric as well as asymmetric hysteresis properties with output saturation is explored in formulating a generalized Prandtl-Ishlinskii model.
References
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Journal ArticleDOI

A Mechanism of Magnetic Hysteresis in Heterogeneous Alloys

TL;DR: In this paper, the effect of shape anisotropy on magnetization curves was studied for the case of ellipsoidal spheroids of revolution (e.g., ellipses of revolution).
Journal ArticleDOI

Über die magnetische Nachwirkung

TL;DR: In this paper, the authors present a Hypothese einer formalen analogie zwischen der Jordanschen Verlustkomponente and dem dielektrischen Nachwirkungsverlust.
Journal ArticleDOI

Mathematical models for hysteresis

TL;DR: The various existing classical models for hysteresis, Preisach, Ishlinskii, Duhem–Madelung, are surveyed, as well a more modern treatments by contemporary workers.
Journal ArticleDOI

Generalized Preisach model of hysteresis

TL;DR: The nonlinear model as mentioned in this paper relaxes the congruency property of the classical Preisach (1935) model, which results in a broader area of applicability and is more accurate.
Journal ArticleDOI

Dynamic Preisach models of hysteresis

TL;DR: In this paper, novel Preisach-type models of hysteresis nonlinearities are introduced and their distinctive feature is their ability to describe dynamic properties of nonlinearity.