Application of Nested Optimization/Regularization for the Magnetostatic Field Synthesis Algorithm, Variable Field Generation

Nathan R. Brooks; Frank B. Gross; Thomas L. Baldwin

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Application of Nested Optimization/Regularization for the Magnetostatic Field Synthesis Algorithm, Variable Field Generation

机译：嵌套优化/正则化在静磁场合成算法，可变磁场生成中的应用

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Variable field generation (VFG) is a newly developed inverse problem algorithm for synthesizing magnetostatic system designs. Unique to this method, the system model would be physically implemented to provide alterable magnetic field production. Within this algorithm, optimization or regularization methods must be employed to determine a useful design solution. This paper presents the process created to apply these solvers in multiple stages and the application of nesting quick linear regularization methods within more robust nonlinear optimization routines. The results of employing this process to the design of a proposed magneto-plasma-aerodynamic (MPAD) device are discussed.

机译：可变场生成（VFG）是一种新开发的用于合成静磁系统设计的逆问题算法。该方法的独特之处在于，系统模型将在物理上实现以提供可变的磁场产生。在此算法中，必须采用优化或正则化方法来确定有用的设计解决方案。本文介绍了将这些求解器应用于多个阶段的过程，以及在更强大的非线性优化例程中嵌套快速线性正则化方法的应用。讨论了使用此过程设计拟议的磁等离子体空气动力学（MPAD）装置的结果。

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来源
《IEEE Transactions on Magnetics》 |2006年第4期|p.1147-1150|共4页
作者
Nathan R. Brooks; Frank B. Gross; Thomas L. Baldwin;
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作者单位

Florida A&M University, Tallahassee, FL 32307 USA;

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原文格式 PDF
正文语种 eng
中图分类计量学;
关键词
Field synthesis; inverse problem; magnetostatics; variable field generation;

机译：磁场合成;反问题;静磁学;可变磁场产生;

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Application of Nested Optimization/Regularization for the Magnetostatic Field Synthesis Algorithm, Variable Field Generation

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