An Improved Newton Method Based on Choosing Initial Guess Applied to Scalar Formulation in Nonlinear Magnetostatics

被引：4
|
作者：
Cherif, Riheb [1 ]
Tang, Zuqi [1 ]
Guyomarch, Frederic [1 ]
Chevalier, Lok [1 ]
Le Menach, Yvonnick [1 ]
机构：
[1] Univ Lille, Arts & Metiers Paris Tech, Cent Lille, HEI,EA 2697 L2EP, F-59000 Lille, France
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2019年 / 55卷 / 06期
关键词：
Finite element (FE) method; initial guess; Newton methods; nonlinear magnetostatic problems; RAPHSON METHOD; CONVERGENCE;
D O I：
10.1109/TMAG.2019.2898416
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An improved starting point Newton method applied to 3-D scalar formulation in magnetostatics is proposed in this paper. Compared with the classical Newton method, the inexact-Newton and quasi-Newton methods are reported by testing on a benchmark problem as well as an industrial example. Remarkable convergence acceleration using the proposed strategy is observed, and thus, it significantly reduces the computational time.
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收藏
页数：4
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