On the parameter identification and application of the Jiles-Atherton hysteresis model for numerical modelling of measured characteristics

Lederer, Dieter; Igarashi, Hajime; Kost, A.; Honma, Tetsuo

doi:10.1109/20.767167

Cited by 139 publications

(77 citation statements)

References 6 publications

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“…Under proper control of the cooling rate the SA method shall converge to the global minimum. This technique has been applied for estimation of JA model parameters by several authors [32][33][34].…”

Section: Comparison Of Different Estimation Techniquesmentioning

confidence: 99%

A Comparison of Different Estimation Methods for Hysteresis Modelling

et al. 2017

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The paper focuses on the estimation techniques for a low-dimensional phenomenological model of ferromagnetic hysteresis proposed by the Brazilian research group GRUCAD. The description is expressed with an ordinary differential equation and some auxiliary relationships. It describes both irreversible and reversible magnetization processes and addresses some problems inherent in the well-known Jiles-Atherton model. It is found that the differential evolution method is the most competitive technique for recovery of optimal model parameters.

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Section: Comparison Of Different Estimation Techniquesmentioning

confidence: 99%

A Comparison of Different Estimation Methods for Hysteresis Modelling

et al. 2017

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“…The exact parameters of the motor model are identified by minimizing the residual between measured and simulated current using a differential evolution algorithm as means. The use of parameter optimization also proves to be efficient in other well defined models like for example magnetorheological fluid dampers and magnetic hysteresis characteristics of construction steel, see (Kwok et al, 2006) and (Lederer et al, 1999). Implicit parameter identification method has also been used on contiguous multibody models.…”

Section: Introductionmentioning

confidence: 99%

mplicit Identification of Contact Parameters in a Continuous Chain Model

Sørensen

Hansen²,

Ebbesen³

et al. 2011

MIC

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Accurate contact modeling is of great importance in the field of dynamic chain simulations. In this paper emphasis is on contact dynamics for a time-domain simulation model of large chains guided in a closed loop track. The chain model is based on theory for unconstrained rigid multibody dynamics where contact within the chain and with the track is defined through continuous point contacts using the contact indentation and rate as means. This paper presents an implicit method to determine contact parameters of the chain model through the use of none gradient optimization methods. The set of model parameters are estimated by minimizing the residual between simulated and measured results. The parameter identification is tested on four different formulations of the Hunt-Crossly hysteresis damping factor with the aim of recognizing a superior model.

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“…At the same time several authors realized that in order to obtain a reliable representation of more complex magnetization cycles, including minor loops, reversal curves etc. it would be necessary to update the values of model parameters in accordance with certain functional dependencies [6,10,[17][18][19][20]. The abundance of different model versions and the focus set mostly on the advantages of one estimation method over another have blurred serious problems with the model equations themselves.…”

Section: Introductionmentioning

confidence: 99%

“…However, soon after the JA model gained popularity, many researchers have come to the conclusion that this description has a number of drawbacks. The original iterative estimation procedure proposed by Jiles et al [4] sometimes gave nonconsistent sets of model parameters [5,6]. Therefore most of the research focused on alternative methods for estimation of model parameters, and was usually based on artificial intelligence approaches [5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Comparison of macroscopic descriptions of magnetization curves

Jastrzębski

Chwastek

2017

ITM Web Conf.

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Abstract. The paper considers a qualitatively different behaviour of two phenomenological hysteresis models. The first one is the widespread Jiles-Atherton description, which is based on the "effective field" concept. The other model is the proposal by the Brazilian research team GRUCAD. First order reversal curves simulated with the latter formalism do not exhibit negative slopes. This feature is in accordance with the experiment.

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On the parameter identification and application of the Jiles-Atherton hysteresis model for numerical modelling of measured characteristics

Cited by 139 publications

References 6 publications

A Comparison of Different Estimation Methods for Hysteresis Modelling

A Comparison of Different Estimation Methods for Hysteresis Modelling

mplicit Identification of Contact Parameters in a Continuous Chain Model

Comparison of macroscopic descriptions of magnetization curves

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