An anisotropic magnetostriction model based on BP neural network combining Levenberg-Marquardt algorithm and particle swarm optimization

作者：Zhou, Hang; Zhang, Yanli^*; Zhang, Dianhai; Ren, Ziyan; Xie, Dexin

来源：International Journal of Applied Electromagnetics and Mechanics, 2017, 55: S193-S201.

DOI：10.3233/JAE-172273

• Anisotropic magnetostriction
• electrical steel
• BP neural network
• alternating magnetization

In this paper, the dynamic magnetostriction of the electrical steel sheet is measured by a triaxial strain gauge based on a single-sheet tester under the alternating magnetic flux condition. The anisotropic magnetostriction property is analyzed, and an improved back propagation neural network assisted model is applied to model the anisotropic principal strain of magnetostriction along different excitation directions. To keep the evaluation cost at an acceptable level, the Levenberg-Marquardt algorithm combined with particle swarm optimization is developed. Finally, the proposed model is verified by comparing the measured magnetostriction and computed one.

• 出版日期2017
• 单位沈阳工业大学