Relevant bibliographies by topics / Dynamic Preisach model

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Dynamic Preisach model'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Dynamic Preisach model"

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Sunny, Mohammed R., and Rakesh K. Kapania. "Modified Dynamic Preisach Model for Hysteresis." AIAA Journal 48, no. 7 (2010): 1523–30. http://dx.doi.org/10.2514/1.j050189.

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Kuczmann, Miklós. "Dynamic extension of vector Preisach model." Physica B: Condensed Matter 549 (November 2018): 47–52. http://dx.doi.org/10.1016/j.physb.2017.09.068.

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LU, M., P. J. LEONARD, P. MARKETOS, T. MEYDAN, and A. J. MOSES. "A SIMPLE DYNAMIC PREISACH HYSTERESIS MODEL FOR FeSi MATERIALS." International Journal of Modern Physics B 17, no. 11 (2003): 2325–31. http://dx.doi.org/10.1142/s0217979203018272.

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Dynamic hysteresis property is a common phenomenon in FeSi materials under time-varied applied field. This paper presented a dynamic hysteresis model based on Preisach scheme. The rectangular-shaped elementary hysteresis operator with two states in classical Preisach model is replaced by a non-rectangular shaped one with multiple states. The output of each state is calculated by a cosine function. The proposed dynamic hysteresis model is experimently tested by comparing the simulated hysteresis loops to experimental ones. The model can be used to describe the dynamic hysteresis in FeSi materia
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Yu, Y., Z. Xiao, N. G. Naganathan, and R. V. Dukkipati. "Dynamic Preisach modelling of hysteresis for the piezoceramic actuator system." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 215, no. 5 (2001): 511–21. http://dx.doi.org/10.1243/0954406011520913.

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A rate-dependent hysteresis property is a common phenomenon in various hysteretic systems including the piezoceramic material system. The dynamic Preisach model is needed to describe the rate-dependent hysteresis. This paper proposes a new dynamic Preisach model by introducing the dependence of the Preisach function on the input variation rate. An input variation rate function was introduced to adjust the relationship of hysteresis loop to the input variation rate for different hysteresis systems. A detailed numerical implementation procedure is also presented. Experiments were conducted to st
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Bernard, Y., E. Mendes, and F. Bouillault. "Dynamic hysteresis modeling based on Preisach model." IEEE Transactions on Magnetics 38, no. 2 (2002): 885–88. http://dx.doi.org/10.1109/20.996228.

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Grech, Christian, Marco Buzio, Mariano Pentella, and Nicholas Sammut. "Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model." Materials 13, no. 11 (2020): 2561. http://dx.doi.org/10.3390/ma13112561.

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In this work, a Preisach-recurrent neural network model is proposed to predict the dynamic hysteresis in ARMCO pure iron, an important soft magnetic material in particle accelerator magnets. A recurrent neural network coupled with Preisach play operators is proposed, along with a novel validation method for the identification of the model’s parameters. The proposed model is found to predict the magnetic flux density of ARMCO pure iron with a Normalised Root Mean Square Error (NRMSE) better than 0.7%, when trained with just six different hysteresis loops. The model is evaluated using ramp-rates
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Hussain, Sajid, and David Lowther. "The prediction of iron losses under PWM excitation using the classical Preisach model." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 6 (2016): 1996–2006. http://dx.doi.org/10.1108/compel-03-2016-0126.

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Purpose The losses incurred in ferromagnetic materials under PWM excitations must be predicted accurately to optimize the design of modern electrical machines. The purpose of this paper is to employ mathematical hysteresis models (i.e. classical Preisach model) to predict iron losses in electrical steels under PWM excitation without compromising the computational complexity of the model. Design/methodology/approach In this paper, a novel approach based on the dynamic inverse Preisach model is proposed to model the iron losses. The PWM magnetic flux density waveform is decomposed into its harmo
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Bertotti, G. "Dynamic generalization of the scalar Preisach model of hysteresis." IEEE Transactions on Magnetics 28, no. 5 (1992): 2599–601. http://dx.doi.org/10.1109/20.179569.

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Kuczmann, Miklós. "Dynamic Preisach model identification applying FEM and measured BH curve." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 6 (2014): 2043–52. http://dx.doi.org/10.1108/compel-11-2013-0368.

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Purpose – The purpose of this paper is to develop a viscous-type frequency dependent scalar Preisach hysteresis model and to identify the model using measured data and nonlinear numerical field analysis. The hysteresis model must be fast and well applicable in electromagnetic field simulations. Design/methodology/approach – Iron parts of electrical machines are made of non-oriented isotropic ferromagnetic materials. The finite element method (FEM) is usually applied in the numerical field analysis and design of this equipment. The scalar Preisach hysteresis model has been implemented for the s
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Rocca, G. La, V. Franzitta, Alessia Viola, and Marco Trapanese. "Dynamic Preisach Hysteresis Model for Magnetostrictive Materials for Energy Application." Applied Mechanics and Materials 432 (September 2013): 72–77. http://dx.doi.org/10.4028/www.scientific.net/amm.432.72.

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In this paper the magnetostrictive material considered is Terfenol-D. Its hysteresis is modeled by applying the DPM whose identification procedure is performed by using a neural network procedure previously publised [. The neural network used is a multiplayer perceptron trained with the Levenberg-Marquadt training algorithm. This allows to obtain the Preisach distribution function, without any special conditioning of the measured data, owing to the filtering capabilities of the neural network interpolators. The model is able to reconstruct both the magnetization relation and the Field-strain r
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Dissertations / Theses on the topic "Dynamic Preisach model"

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MEHRPARVAR, MAHSHID. "Control Systems for Experimental Magnetic Materials Characterization Using Dynamic Preisach Models." Thesis, KTH, Elektrisk energiomvandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-160704.

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The eciency of electrical machines is of major concern due to their widespread usage and the globally increasing awareness of energy consumption issues. Iron losses have a signicant impact on the total and thus researchers and manufacturers of electrical machines are developing dierent strategies in order to reduce them. The iron losses are highly dependent on the magnetic material that is used and thus it is necessary to identify its relevant characteristics. In this work, the development of a control system for inducing a pure sinusoidal magnetic ux density in the magnetic material is descri
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Liao, Pen-Yen, and 廖本諺. "Dynamic Modeling on Hysteresis Effects in Piezoelectric Structures via Preisach Model and Subsequent Robust Control Designs." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/40451295907463117211.

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碩士<br>中原大學<br>機械工程研究所<br>93<br>This study is aimed to conduct the microscopic modeling of hysteresis effects in the piezoelectric materials via finite elements. A robust controller is subsequently designed to demonstrate the effectiveness of the microscopic modeling in terms of minimizing positioning error for a simple bimorph piezoelectric beam system. To perform the microscopic modeling on hysteresis, the constitutive equations of a general piezoelectric material are modified to include the hysteresis effect by adding a polarization term in one of the constitutive equations. The well-known P
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Book chapters on the topic "Dynamic Preisach model"

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Bermúdez, Alfredo, Dolores Gómez, and Pablo Venegas. "Mathematical Analysis for a Class of Partial Differential Equations with Dynamic Preisach Model." In Progress in Industrial Mathematics at ECMI 2018. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27550-1_44.

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Sunny, Mohammed Rabius, and Rakesh K. Kapania. "A Hysteresis Compensator Based on a Modified Dynamic Preisach Model for Conductive Polymer Nanocomposites." In IUTAM Symposium on Multi-Functional Material Structures and Systems. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3771-8_9.

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Conference papers on the topic "Dynamic Preisach model"

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Sunny, Mohammed, and Rakesh Kapania. "A Modified Dynamic Preisach Model for Hysteresis." In 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-2543.

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Zhang, Jun, David Torres, Emmanuelle Merced, Nelson Sepúlveda, and Xiaobo Tan. "A Hysteresis-Compensated Self-Sensing Scheme for Vanadium Dioxide-Coated Microactuators." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6222.

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Vanadium dioxide (VO2)-coated silicon dioxide microactuators demonstrate fully reversible actuation, large bending and high energy density. To better utilize its actuation potential while minimizing the cost in obtaining sensory feedback, a novel composite hysteresis model is presented to obtain the deflection feedback based on the resistance measurement. In this model the deflection is obtained from the voltage value through a generalized Prandtl-Ishlinskii model, while the voltage in turn is calculated based on the resistance measurement through the analytical inverse of another generalized
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Testa, L., and M. Trapanese. "Magnetic Stochastic Resonance in systems described by Dynamic Preisach Model." In INTERMAG 2006 - IEEE International Magnetics Conference. IEEE, 2006. http://dx.doi.org/10.1109/intmag.2006.375648.

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Ruderman, Michael, and Torsten Bertram. "Discrete dynamic Preisach model for robust inverse control of hysteresis systems." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717758.

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Kim, Hyeoung Seob, Sun-Ki Hong, Ji Hoon Han, and Dong Jin Choi. "Dynamic Modeling and Load Characteristics of Hysteresis Motor Using Preisach Model." In 2018 21st International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2018. http://dx.doi.org/10.23919/icems.2018.8548972.

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Kilicarslan, Atilla, Gangbing Song, and Karolos M. Grigoriadis. "LPV Gain Scheduling Control of Hysteresis on an SMA Wire System." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2623.

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In this work, a Linear Parameter-Varying (LPV) control method is used to compensate the hysteretic behavior of a Shape Memory Alloy (SMA) wire. Controller is implemented on an experimental system which consists of a pre-tension spring and a mass actuated with a thin SMA wire. The hysteretic characteristic of the SMA wire is modeled using the Preisach model and the model is verified both for the major and minor hysteresis loops. The small signal linear gain of the Preisach model is used as a scheduling stiffness variable. The parameter-dependent controller is scheduled based on the real time me
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Trapanese, Marco. "A Dynamic Preisach Model approach to the description of hysteresis in lithium battery." In 2012 IEEE Applied Power Electronics Conference and Exposition - APEC 2012. IEEE, 2012. http://dx.doi.org/10.1109/apec.2012.6166078.

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T K, Arya Bharath, and Nisha A.S. "Comparison of Hysteresis Models for Nonlinear Dynamic Analysis of Structural Systems." In International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.35.

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Hysteresis is a non-linear phenomenon exhibited by the mechanical systems. Beyond elastic limit the loading and unloading path of most of the system will differ and that nonlinear path is indicated by hysteresis. The reason for shape of hysteretic cure may due to either changes in material properties beyond the elastic range or due to the changes in structural geometry because of subjected load. This response is a function of both immediate deformation and the previous residual deformation acted on it since it represents the dissipated energy of structure. The hysteretic characteristics or deg
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Lagoudas, Dimitris C., Mughees M. Khan, John J. Mayes, and Benjamin K. Henderson. "Parametric Study and Experimental Correlation of an SMA Based Damping and Passive Vibration Isolation Device." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39034.

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In this work, the effect of pseudoelastic response of shape memory alloys (SMAs) on damping and passive vibration isolation will be presented. This study has been conducted by developing and utilizing a shape memory alloy (SMA) model (a physically based SMA model) to perform extensive parametric studies on a non-linear hysteretic dynamic system, representing an actual SMA damping and passive vibration isolation prototype device. The prototype device consists of SMA tubes undergoing pseudoelastic transformations under transverse loading. To accurately model the non-linear hysteretic response of
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Chao, Paul C. P., C. W. Chiu, J. S. Huang, and H. C. Tseng. "Dynamic Finite Element Analysis of a Piezoelectric Bimorph Beam Deflector With Consideration of Hysteresis Effect." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48528.

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This study is devoted to propose a method of finite element technique to account for the hysteresis effect of a piezoelectric bimorph beam deflector. To this end, the constitutive equations of a general piezoelectric material are first modified to include the hysteresis effect by adding a polarization term in one of constitutive equations. Based on these modified constitutive equations and employment of Preisach model for hysteresis, the governing equations of the bimorph beam are derived through the utilization of Hamilton’s principle and calculus of variation. In addition, according to the c
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