利用有限元神经网络计算漏磁场方法研究  

A Calculation Method of Magnetic Leakage Field Based on Finite Element Neural Network

作　　者：苑希超[1] 王长龙[1] 纪凤珠[1] 左宪章[1] 

机构地区：[1]军械工程学院电气工程系,河北石家庄050003

出　　处：《兵工学报》2011年第11期1395-1398,共4页Acta Armamentarii

基　　金：河北省自然科学基金资助项目(E2008001258)

摘　　要：针对有限元法计算量大的不足,用神经网络模拟有限元的分析过程,建立了求解漏磁场计算的有限元神经网络模型,并采用共轭梯度学习算法,对矩形缺陷的漏磁场进行了计算。通过计算得到了磁场强度、磁感应强度矢量图以及漏磁通密度x、y分量图。结果表明,有限元神经网络能够实现漏磁场的并行求解,具有速度快、稳定性好等优点,是一种漏磁场的快速计算方法。To reduce computational cost of FEM,a neural network was adopted to simulate the process of finite element analysis,a finite element neural network（FENN） model to calculate the leakage field was established,and a conjugate gradient（CG） method was introduced as a learning algorithm.The magnetic leakage field of a rectangle defect was calculated by using FENN.The magnetic field intensity,magnetic flux density and the x and y components of leakage magnetic flux were obtained.The results indicate that the method has the advantages of rapidness and stability and can be applied to leakage field＇s parallel resolving.

关 键 词：电磁学 漏磁 电磁计算 共轭梯度法 有限元神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM153[自动化与计算机技术—控制科学与工程]