scholarly journals On Implementation of the Preisach Model: Identification and Inversion for Hysteresis Compensation

2015 ◽  
Vol 36 (3) ◽  
pp. 133-142 ◽  
Author(s):  
Jon Åge Stakvik ◽  
Michael R.P. Ragazzon ◽  
Arnfinn A. Eielsen ◽  
Jan T. Gravdahl
Keyword(s):  
Model Identification ◽  
Preisach Model ◽  
Hysteresis Compensation ◽  
And Inversion

A genetic approach to solve numerical problems in the Preisach model identification

2006 ◽  
Vol 42 (5) ◽  
pp. 1526-1537 ◽  
Author(s):  
G. Consolo ◽  
G. Finocchio ◽  
M. Carpentieri ◽  
B. Azzerboni
Keyword(s):  
Model Identification ◽  
Preisach Model ◽  
Genetic Approach

Comparison of different vector Preisach models for the simulation of ferromagnetic materials

2019 ◽  
Vol 38 (5) ◽  
pp. 1696-1710
Author(s):  
Michael Nierla ◽  
Michael Loeffler ◽  
Manfred Kaltenbacher ◽  
Stefan Johann Rupitsch
Keyword(s):  
Computational Time ◽  
Preisach Model ◽  
Practical Application ◽  
Content Type ◽  
Computational Costs ◽  
Evaluation Approach ◽  
The Cost ◽  
And Inversion ◽  
Magnetization Processes ◽  
Rotational Operator

Purpose The numerical computation of magnetization processes in moving and rotating assemblies requires the usage of vector hysteresis models. A commonly used model is the so-called Mayergoyz vector Preisach model, which applies the scalar Preisach model into multiple angles of the halfspace. The usage of several scalar models, which are optionally weighted differently, enables the description of isotropic as well as anisotropic materials. The flexibility is achieved, however, at the cost of multiple scalar model evaluations. For solely isotropic materials, two vector Preisach models, based on an extra rotational operator, might offer a lightweight alternative in terms of evaluation cost. The study aims at comparing the three mentioned models with respect to computational efficiency and practical applicability. Design/methodology/approach The three mentioned vector Preisach models are compared with respect to their computational costs and their representation of magnetic polarization curves measured by a vector vibrating sample magnetometer. Findings The results prove the applicability of all three models to practical scenarios and show the higher efficiency of the vector models based on rotational operators in terms of computational time. Originality/value Although the two vector Preisach models, based on an extra rotational operator, have been proposed in 2012 and 2015, their practical application and inversion has not been tested yet. This paper not only shows the usability of these particular vector Preisach models but also proves the efficiency of a special stageless evaluation approach that was proposed in a former contribution.

Modeling and Compensation of Hysteresis in Piezoceramic Transducers for Vibration Control

1999 ◽  
Author(s):  
Soon-Hong Lee ◽  
Thomas J. Royston ◽  
Gary Friedman
Keyword(s):  
Feedforward Control ◽  
Experimental Studies ◽  
Model Identification ◽  
Hysteretic Behavior ◽  
Mathematical Framework ◽  
Hysteresis Model ◽  
Composite Support ◽  
Hysteresis Compensation ◽  
Control Scheme ◽  
Theoretical Developments

Abstract Hysteretic behavior in piezoceramic transducers is investigated theoretically and experimentally. The applicability of the rate-independent generalized Maxwell resistive capacitor (MRC) hysteresis model is established. Methods for MRC and inverse MRC online model identification are developed by first establishing that the MRC and its inverse are the same particular cases of the classical Preisach hysteresis model. This enables use of the extensive mathematical framework that has been developed for Preisach models. A method of incorporating the MRC model in a feedforward control scheme for hysteresis compensation is also presented. Experimental studies on a 1-3 piezoceramic composite support the theoretical developments and their applicability to piezoceramics.

Removing numerical instabilities in the Preisach model identification using genetic algorithms

2006 ◽  
Vol 372 (1-2) ◽  
pp. 91-96 ◽  
Author(s):  
G. Consolo ◽  
G. Finocchio ◽  
M. Carpentieri ◽  
B. Azzerboni
Keyword(s):  
Genetic Algorithms ◽  
Model Identification ◽  
Preisach Model ◽  
Numerical Instabilities

A hysteresis compensation method of piezoelectric actuator: Model, identification and control

2009 ◽  
Vol 17 (9) ◽  
pp. 1107-1114 ◽  
Author(s):  
Changhai Ru ◽  
Liguo Chen ◽  
Bing Shao ◽  
Weibin Rong ◽  
Lining Sun
Keyword(s):  
Piezoelectric Actuator ◽  
Model Identification ◽  
Compensation Method ◽  
Hysteresis Compensation ◽  
And Control

Hysteresis Compensation Using Extended High-Gain Observer and Dynamic Inversion

2018 ◽  
Author(s):  
Dhrubajit Chowdhury ◽  
Yasir Khudhair Al-Nadawi ◽  
Xiaobo Tan
Keyword(s):  
Smart Materials ◽  
Tracking Error ◽  
Model Identification ◽  
High Gain ◽  
Target System ◽  
Dynamic Inversion ◽  
Input Nonlinearity ◽  
Hysteresis Compensation ◽  
High Gain Observer ◽  
Mild Assumption

Hysteresis is a nonlinearity exhibited by a wide class of smart materials, such as piezoelectrics and shape memory alloys, and it presents challenges in the control of smart material-actuated systems (for example, piezo-based nanopositioning systems). Existing methods for hysteresis compensation typically require an explicit model of the hysteresis, which tends to be high-dimensional operators and entails significant complexity in model identification and inversion. In this paper a novel hysteresis compensation method based on extended-high-gain observers and dynamic inversion is presented, which does not assume any specific hysteresis model. An extended high-gain observer is used to estimate the hysteresis output as well as other unknown dynamics of the system model, and then dynamic inversion is implemented to cancel the effect of hysteresis. With a mild assumption on the system and the input nonlinearity, the analysis of the closed-loop system under output feedback shows fast performance recovery to the trajectories of a target system, and that the tracking error converges exponentially to zero. Simulation results are presented to support the efficacy of the proposed approach.

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