Abstract
The Finite Element Method (FEM) is widely used to model and simulate electromechanical devices. It enables us to analyze device’s properties and improve its performance. Although, its relevance for electric machine design has been proved, its drawbacks are time consuming calculations. Therefore, it is proposed a novel parallel solver to the FEM modeling technique. However, the presented simulation algorithm is limited to magnetic linear models without eddy currents. The FEM parallel simulation technique is applied to simulate brushless DC motor. The analysis of the field distribution and movement characteristics are included. Moreover, the torque ripple problem is described and its influence of motor movement is shown. The brushless DC motor optimization is performed based on the simulated annealing algorithm. The objective function variables are a dimension of the stator teeth and a width of the permanent magnets. The optimization algorithm characteristics are presented and analyzed. Additionally, the reasons for and against of the simulated annealing algorithm as multivariable optimization tool for the FEM models are examined.
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Bernat, J., Kołota, J., Stępień, S. (2010). The FEM Parallel Simulation with Look Up Tables Applied to the Brushless DC Motor Optimization. In: Wiak, S., Napieralska-Juszczak, E. (eds) Computational Methods for the Innovative Design of Electrical Devices. Studies in Computational Intelligence, vol 327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16225-1_3
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DOI: https://doi.org/10.1007/978-3-642-16225-1_3
Publisher Name: Springer, Berlin, Heidelberg
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