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<p>We consider the quasilinear magneto-quasistatic field equations that arise in the simulation of low-frequency electromagnetic devices coupled to electrical circuits. Spatial discretization of these equations on 3D&#xa0;domains using the finite element method results in a singular system of differential-algebraic equations (DAEs). First, we analyze the structural properties of this system and present a novel regularization approach based on projecting out the singular state components. Next, we explore the passivity of the variational magneto-quasistatic problem and its discretization by defining suitable storage functions. For model reduction of the magneto-quasistatic system, we employ the proper orthogonal decomposition (POD) technique tailored to the DAE structure and complemented by the discrete empirical interpolation method (DEIM) to facilitate efficient evaluation of the system’s nonlinearities. We prove that the POD-reduced model preserves passivity. For the POD–DEIM-reduced model, where passivity may be violated due to the DEIM approximation, we propose a&#xa0;method to enforce input–output passivity, a&#xa0;weaker form of passivity, by perturbing the output in a&#xa0;way that accounts for DEIM errors. Numerical experiments illustrate the effectiveness of the presented model reduction methods and the passivity enforcement technique.</p>

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Regularization and passivity-preserving model reduction of quasilinear magneto-quasistatic coupled problems

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月20日

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  • Johanna Kerler-Back,
  • Timo Reis,
  • Tatjana Stykel

摘要

We consider the quasilinear magneto-quasistatic field equations that arise in the simulation of low-frequency electromagnetic devices coupled to electrical circuits. Spatial discretization of these equations on 3D domains using the finite element method results in a singular system of differential-algebraic equations (DAEs). First, we analyze the structural properties of this system and present a novel regularization approach based on projecting out the singular state components. Next, we explore the passivity of the variational magneto-quasistatic problem and its discretization by defining suitable storage functions. For model reduction of the magneto-quasistatic system, we employ the proper orthogonal decomposition (POD) technique tailored to the DAE structure and complemented by the discrete empirical interpolation method (DEIM) to facilitate efficient evaluation of the system’s nonlinearities. We prove that the POD-reduced model preserves passivity. For the POD–DEIM-reduced model, where passivity may be violated due to the DEIM approximation, we propose a method to enforce input–output passivity, a weaker form of passivity, by perturbing the output in a way that accounts for DEIM errors. Numerical experiments illustrate the effectiveness of the presented model reduction methods and the passivity enforcement technique.