2014
DOI: 10.1109/tec.2014.2303987
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A Finite-Element-Based Domain Decomposition Method for Efficient Simulation of Nonlinear Electromechanical Problems

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Cited by 12 publications
(9 citation statements)
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“…The Finite-element (FE) method is so far the preferred method of analysis. Indeed, it leads to accurate results taking into account the non-linearity of magnetic materials and the actual coupler geometry [2][3][4]. The main drawback of FE methods is the long computation time and the lack of flexibility.…”
Section: Introductionmentioning
confidence: 99%
“…The Finite-element (FE) method is so far the preferred method of analysis. Indeed, it leads to accurate results taking into account the non-linearity of magnetic materials and the actual coupler geometry [2][3][4]. The main drawback of FE methods is the long computation time and the lack of flexibility.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the computation time of FEM within control loop is far longer than simulating with a state space model, because of the large sparse system of equations. There is an obvious solution to this problem, namely the parallelization of finite element method [6], [7], [11], [12], [13] in order to speed-up the computations. One of the possibilities is the Domain Decomposition Method (DDM) [6], [7], [13], [14], [15], [16], [17].…”
Section: Fig 1 Block Diagram Of the Switched Reluctance Drive Systemmentioning
confidence: 99%
“…There is an obvious solution to this problem, namely the parallelization of finite element method [6], [7], [11], [12], [13] in order to speed-up the computations. One of the possibilities is the Domain Decomposition Method (DDM) [6], [7], [13], [14], [15], [16], [17]. The used DDM is the Schur-complement method [13], [14], [15] with the parallel preconditioned conjugate gradient method [13], [14], which is currently one of the most popular methods for systems with real symmetric positive definite matrices.…”
Section: Fig 1 Block Diagram Of the Switched Reluctance Drive Systemmentioning
confidence: 99%
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