Model Order Reduction of Electrical Machines With Multiple Inputs

Farzamfar, M.; Belahcen, Anouar; Rasilo, Paavo; Clénet, S.; Pierquin, Antoine

doi:10.1109/tia.2017.2681967

Cited by 14 publications

(7 citation statements)

References 18 publications

(25 reference statements)

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“…Thereafter, the singular value decomposition (SVD) is applied to the snapshot matrix obtaining the modes of the POD. The modes of the POD can be evaluated concerning the energy content in the least square sense [28], allowing to choose an appropriate number of modes to achieve an efficient model, combining good accuracy and fast solution time. In [28] this technique is applied to the electromagnetic model of a PMSM, whereas the developed ROM has as inputs the rotation angle of the machine and the angle and magnitude of the current.…”

Section: Methodological Approachmentioning

confidence: 99%

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Mendes

Ferreira

2021

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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The digital twin is a trending technology that has been applied to different fields. In this work, the use of the digital twin of electric machines in a life cycle perspective is investigated. It presents a literature review of the main concepts and applications of the digital twin in the field. In addition, it discusses the methodological approach to obtain the digital twin of a static electric machine by using its multiphysics model in a reduced order model, to improve the maintenance scheme and estimate the lifetime of its insulation system based on the machine's temperature profile.

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Section: Methodological Approachmentioning

confidence: 99%

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Mendes

Ferreira

2021

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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“…where arctg is the inverse trigonometric function arctangent. Then, a second mapping is used to transform the resulting non-fully separable domain into a prismatic, easily separable one, (s, t), such as s ∈ [1,7] and t ∈ [0, 2π), using the following transformation, for i = 2, . .…”

Section: Pgd Physical Space Separated Solutionmentioning

confidence: 99%

“…Numerical tools such as the Finite Element Method (FEM) or the Finite Difference Method are powerful and excellent methodologies for analyzing static and dynamical systems. Despite this, a great portion of numerical simulations concerning real-life problems face difficulties in design, optimization and control due to the complexity of the system, high computational costs, and storage requirement [1,2].…”

Section: Introductionmentioning

confidence: 99%

Fast Computation of Multi-Parametric Electromagnetic Fields in Synchronous Machines by Using PGD-Based Fully Separated Representations

et al. 2021

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A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric solutions for electromagnetic fields in synchronous machines. Specifically, the intrusive version of the Proper Generalized Decomposition (PGD) is employed to simulate a Permanent-Magnet Synchronous Motor (PMSM). The result is a virtual chart allowing real-time evaluation of the magnetic vector potential as a function of the operation point of the motor, or even as a function of constructive parameters, such as the remanent flux in permanent magnets. Currently, these solutions are highly demanded by the industry, especially with the recent developments in the Electric Vehicle (EV). In this framework, standard discretization techniques require highly time-consuming simulations when analyzing, for instance, the noise and vibration in electric motors. The proposed approach is able to construct a virtual chart within a few minutes of off-line simulation, thanks to the use of a fully separated representation in which the solution is written from a series of functions of the space and parameters coordinates, with full space separation made possible by the use of an adapted geometrical mapping. Finally, excellent performances are reported when comparing the reduced-order model with the more standard and computationally costly Finite Element solutions.

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“…Among many MOR techniques that have been used to solve electromagnetic problems are the Proper Orthogonal Decomposition (POD) [4]- [8], the Proper Generalized Decomposition (PGD) [9]- [12], the Discrete Empirical Interpolation Method (DEIM) [13]- [16], the Best Point Interpolation Method (BPIM) [17] and the Orthogonal Interpolation Method (OIM) [18]. A POD approach for solving multiple-input problems is also presented in [19] and [20].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization

et al. 2021

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In this paper, an exhaustive comparison is presented between two types of model order reduction methods, namely the proper orthogonal decomposition (POD) and the orthogonal interpolation method (OIM), for the characterization of a switched reluctance machine. The purpose of the comparison is to find out the best practices for the design of the machine control parameters and strategy. The control design itself is not presented here, but the needed information is at the focus. The comparison is based on the computation time and the complexity of the reduced-order model as well as the accuracy of the needed data as compared with the one obtained from the full-order model. The results show that OIM is more efficient in terms of calculation time, especially when considering a nonlinear problem.

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Model Order Reduction of Electrical Machines With Multiple Inputs

Abstract: 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.

Cited by 14 publications

References 18 publications

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Fast Computation of Multi-Parametric Electromagnetic Fields in Synchronous Machines by Using PGD-Based Fully Separated Representations

Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization

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