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Optimization of the electromagnetic devices using genetic algorithms method

机译:基于遗传算法的电磁装置优化

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The new approach using genetic algorithms is applied for the optimization of the pole shape of the synchronous generators. In the design optimization process there are always two fundamental functional bodies: the analysis tool and the search algorithm. They continuously interact, as for every new set of design parameters that the search algorithm suggests. The analysis tool solves the governing equations and determines the value of a new point in the search space. In this present work, the genetic algorithm performs the search operation and the finite element method carries out the analysis. The results show that the optimal design of hydro-generator with lower losses and optimum pole geometry can be found quickly after a few generations.
机译:使用遗传算法的新方法被应用于同步发电机的磁极形状的优化。在设计优化过程中,始终有两个基本功能实体:分析工具和搜索算法。它们不断进行交互,就像搜索算法建议的每组新的设计参数一样。分析工具求解控制方程并确定搜索空间中新点的值。在本工作中,遗传算法执行搜索操作,而有限元方法进行分析。结果表明,经过几代人的努力,就可以快速找到具有较低损耗和最佳磁极几何形状的水轮发电机的优化设计。

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