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Geometric parametrization and constrained optimization techniques in the design of salient pole synchronous machines

机译:凸极同步电机设计中的几何参数化和约束优化技术

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摘要

The shape optimization of magnetic devices is efficiently performed with field calculation and sensitivity analysis based on the finite element method. Several sequential unconstrained optimization techniques are discussed and evaluated with respect to their application in engineering design. The optimization of the geometry of a salient pole generator so as to achieve a desired field configuration in the airgap is used as an illustrative numerical example to demonstrate the geometric parametrization technique, emphasize the importance of constraints in engineering design, and highlight the advantageous features of the augmented Lagrangian multiplier method for nonlinear constrained optimization. For the required geometric parametrization a recent novel use of structural mapping is extended to incorporate constrained optimization. The associated equations of structural mapping are presented.
机译:通过基于有限元方法的场计算和灵敏度分析,可以有效地执行磁性器件的形状优化。讨论并评估了几种顺序无约束优化技术,并将其应用于工程设计中。优化凸极发生器的几何形状以在气隙中实现所需的场配置被用作说明性的数值示例,以演示几何参数化技术,强调工程设计中约束的重要性以及突出其优点。非线性约束优化的增强拉格朗日乘子法。对于所需的几何参数化,结构映射的最新新颖用途已扩展为包含约束优化。给出了结构映射的相关方程。

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