A Cosimulation Framework for Multirate Time Integration of Field/Circuit Coupled Problems

Schöps, Sebastian; Gersem, Herbert De; Bartel, Andreas

doi:10.1109/tmag.2010.2045156

Cited by 53 publications

(63 citation statements)

References 8 publications

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“…In this section, we present some results of numerical experiments for model reduction of linear and nonlinear MQS models describing a single-phase 2D transformer with an iron core and two coils as shown in Figure 2, see [36] for detailed description and geometry data. For the FEM discretization, we use the free available software FEniCS * , whereas the time integration is done by the solver IDA from the simulation package Assimulo † .…”

Section: Numerical Experimentsmentioning

confidence: 99%

Model Order Reduction for Magneto-Quasistatic Equations

Kerler

Stykel

2015

IFAC-PapersOnLine

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Section: Numerical Experimentsmentioning

confidence: 99%

Model Order Reduction for Magneto-Quasistatic Equations

Kerler

Stykel

2015

IFAC-PapersOnLine

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“…Other methods aimed at simulation speedup, exploiting weakly coupled model components have been already proposed in the literature [7], [11], [12], but they are often domain-specific and the structural analysis needed is far from being automatic.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Automatic partitioning and simulation of weakly coupled systems

Papadopoulos

Åkesson

Casella

et al. 2013

52nd IEEE Conference on Decision and Control

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Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Modern tools allow to build the required dynamic models conveniently, thanks to Object-Oriented Modelling languages, e.g., Modelica, and to perform simulations with hardly any additional effort on the part of the analyst. However, when simulation speed is of concern, the same tools fall short of exploiting some useful properties of the model, namely -to focus on the subject of this work -the possibility of partitioning said model in "weakly" coupled submodels. This work proposes an automatic method to perform a structural analysis aimed at identifying weak couplings in the system, providing the information needed for the mentioned partition. This information is here used to feed a mixed-mode integration method, leading to a significant improvement in terms of simulation speed. I. INTRODUCTIONModelling and simulation of complex physical systems have received increasing attention in the last years, in particular in the control domain. Even if the control design is usually based on simple models -most often a linearised one is sufficient -the controller should be validated on a more accurate description of the real plant.Moreover, several important control applications require to simulate accurate models in real time. Model reference adaptive controllers, for example, make use of a reference plant model as part of the online control law [1]. This requires the model to be simulated in real time in parallel with the plant, both being driven simultaneously by the same input signals.The main problem, however, is that simulating accurate models usually takes a lot of time and computational resources, which in some cases is, e.g., in real-time applications, is not acceptable. Therefore, finding a way to improve simulation efficiency is thus crucial and worth investigating. In this work, a novel method to improve simulation performance is presented.The paper is outlined as follows. Section II describes the related work, and specifies the scope of the paper. Section III presents a brief overview on classical integration methods used in real-time simulation. The proposed partitioning method is described in Section IV, while the mixed-mode integration method is described in Section VI. In Section VII the method is applied to some physical examples and the obtained results are discussed. Section VIII concludes the paper.

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“…The WRM approach is an iterative process which converges in theory to the solution of a strong coupling [3]. The method was used for many years for the simulation of circuits [4], [5] or transmission lines [6], and has been recently studied for the coupling of circuit equations and a FEM [7], [8], either by source coupling or by parameter coupling [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Multirate Coupling of Controlled Rectifier and Non-Linear Finite Element Model Based on Waveform Relaxation Method

et al. 2016

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. To study a multirate system, each subsystem can be solved by a dedicated sofware with respect to the physical problem and the time constant. Then, the problem is the coupling of the solutions of the subsystems. The Waveform Relaxation Method (WRM) seems to be an interesting solution for the coupling but until now it has been mainly applied on academic examples. In this paper, the WRM is applied to perform the coupling of a controlled rectifier and a non-linear finite element model of a transformer.Index Terms-Waveform relaxation method, multirate system, multi-physics and coupled problems, finite element method.

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A Cosimulation Framework for Multirate Time Integration of Field/Circuit Coupled Problems

Cited by 53 publications

References 8 publications

Model Order Reduction for Magneto-Quasistatic Equations

Model Order Reduction for Magneto-Quasistatic Equations

Automatic partitioning and simulation of weakly coupled systems

Multirate Coupling of Controlled Rectifier and Non-Linear Finite Element Model Based on Waveform Relaxation Method

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