A parametric finite element environment tuned for numerical optimization

Pahner, Uwe; Mertens, R; Gersem, Herbert De; Belmans, Ronnie; Hameyer, Kay

doi:10.1109/20.717685

Cited by 48 publications

(20 citation statements)

References 3 publications

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“…The indices i and j are typically used for addressing members of S c or S e , whereas the indices p and q are used for counting wires, hence, addressing elements of S d . During the solution of the problem, adaptive mesh refinement is applied to enhance the accuracy of the results, especially for eddy-current computations [7].…”

Section: Finite-element Modelsmentioning

confidence: 99%

Transmission-line modelling of wave propagation effects in machine windings

Gersem

Henze

Weiland

et al. 2008

2008 13th International Power Electronics and Motion Control Conference

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In this paper, the parameters of a transmissionline model for electrical machine windings are calculated on the basis of a finite-element model of the winding crosssection. Three finite-element formulations are compared: a low-frequency approximation, a high-frequency approximation and an eddy-current formulation. Combining wires into windings and the connection of parts in series or parallel is treated on the level of the transmission-line model. The application to a particular winding configuration indicates the validity ranges of the low-and high-frequency approximations in comparison with the eddy-current formulation. The propagating modes are examined.

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Section: Finite-element Modelsmentioning

confidence: 99%

Transmission-line modelling of wave propagation effects in machine windings

Gersem

Henze

Weiland

et al. 2008

2008 13th International Power Electronics and Motion Control Conference

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“…The radial force characteristic and flux linkages are determined by the two-dimensional (2D) FEM, using the programming environment described in [8]. Calculated force is compared with measured force in the entire operating range, while the flux linkages were not measured due to mechanical problems with rotor fixation.…”

Section: Impact Of Magnetic Nonlinearities and Cross-coupling Effectsmentioning

confidence: 99%

Impact of Magnetic Nonlinearities and Cross-Coupling Effects on Properties of Radial Active Magnetic Bearings

et al. 2004

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The impact of magnetic nonlinearities and cross-coupling effects on the properties of the discussed radial active magnetic bearings (AMBs) is evaluated in the entire operating range. The characteristics of flux linkages and radial force are all determined by finite element computation, while the current and position dependent partial derivatives of the flux linkages are calculated by analytical derivations of the continuous approximation functions. Calculated current and position-dependent partial derivatives, as well as the radial force characteristics are incorporated into the proposed dynamic AMB model. The results presented show that the magnetic nonlinearities and cross-coupling effects can change the electromotive forces and the radial force considerably. These disturbing effects have been determined and can be incorporated into the real-time realization of nonlinear control in order to achieve cross-coupling compensations.

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“…According to (Pahner et al, 1998), for optimization of electromagnetic devices in combination with the FEM, DE converges faster and is more stable when compared to other stochastic direct search algorithms such as simulated annealing and self-adaptive evolution strategies. In this work a DE/FEM-based design procedure for radial AMBs is applied, similar to the procedure proposed in our earlier work (Polajžer et al, 2008).…”

Section: Design Of Radial Active Magnetic Bearings By De and The Femmentioning

confidence: 99%

“…Optimization of the discussed radial AMBs has been carried out in a special programming environment tuned for FEM-based numerical optimizations (Pahner et al, 1998). The procedure is described by the following steps:  Step 1) The geometry of the initial AMB is described parametrically.…”

Section: Optimization Proceduresmentioning

confidence: 99%

“…A combination of stochastic search methods and analysis based on the finite element method (FEM) is recommended for the optimization of such constrained, non-linear electromagnetic systems (Hameyer & Belmans, 1999). In this work the numerical optimization of radial AMBs is performed using differential evolution (DE) -a direct search algorithm (Price et al, 2005) -and the FEM (Pahner et al, 1998). The objective of the optimization is to linearize current and position dependent radial force characteristic over the entire operating range.…”

Section: Introductionmentioning

confidence: 99%

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