To read this content please select one of the options below:

Model order reduction of nonlinear eddy-current field using parameterized CLN

Miwa Tobita (Graduate School of Engineering, Kyoto University, Kyoto, Japan)
Hamed Eskandari (Graduate School of Engineering, Kyoto University, Kyoto, Japan)
Tetsuji Matsuo (Graduate School of Engineering, Kyoto University, Kyoto, Japan)

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

ISSN: 0332-1649

Article publication date: 3 September 2021

Issue publication date: 10 May 2022

38

Abstract

Purpose

The authors derive a nonlinear MOR based on the Cauer ladder network (CLN) representation, which serves as an application of the parameterized MOR. Two parametrized CLN representations were developed to handle the nonlinear magnetic field. Simulations using the parameterized CLN were also conducted using an iron-cored inductor model under the first-order approximation.

Design/methodology/approach

This work studies the effect of parameter variations on reduced systems and aims at developing a general formulation for parametrized model order reduction (MOR) methods with the dynamical transition of parameterized state.

Findings

Terms including time derivatives of basis vectors appear in nonlinear state equations, in addition to the linear network equations of the CLN method. The terms are newly derived by an exact formulation of the parameterized CLN and are named parameter variation terms in this study. According to the simulation results, the parameter variation terms play a significant role in the nonlinear state equations when reluctivity is used, while they can be neglected when differential reluctivity is used.

Practical implications

The computational time of nonlinear transient analyses can be greatly reduced by applying the parameterized CLN when the number of time steps is large.

Originality/value

The authors introduced a general representation for the dynamical behavior of the reduced system with time-varying parameters, which has not been theoretically discussed in previous studies. The effect of the parameter variations is numerically given as a form of parameter variation terms by the exact derivation of the nonlinear state equations. The influence of parameter variation terms was confirmed by simulation.

Keywords

Acknowledgements

This work was supported in part by the Japan Society for the Promotion of Science under a Grant-in-Aid for Scientific Research (C) No. 20K04443. The authors would like to thank Editage (www.editage.com) for English language editing.

Citation

Tobita, M., Eskandari, H. and Matsuo, T. (2022), "Model order reduction of nonlinear eddy-current field using parameterized CLN", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 3, pp. 967-980. https://doi.org/10.1108/COMPEL-02-2021-0065

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles