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具有三维磁极阵列的新型球形致动器的磁场分析

Magnetic field analysis of novel spherical actuators with three-dimensional pole arrays.

作者信息

Yan Liang, Liang Fengqi, Jiao Zongxia, Wang Tianyi

机构信息

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.

出版信息

Rev Sci Instrum. 2016 Jun;87(6):065006. doi: 10.1063/1.4953920.

Abstract

Spherical actuator is an electric device that can achieve multiple degree-of-freedom rotary motions in a single joint. Permanent magnet array is a key factor that influences the output performance of electromagnetic spherical actuators. In this paper, a novel three-dimensional (3D) pole array is proposed to improve the system flux density and thus the output performance. Analysis of magnetic field distribution is extremely important for spherical actuators with 3D magnet arrays. Thus, the investigation of magnetic field is conducted in analytical, numerical, and experimental ways. The general solution of magnetic scalar potential in 3D space is formulated analytically based on Laplace's equations and spherical harmonics, and then specific solutions of the magnetic scalar potential and magnetic flux density are obtained by using boundary conditions. Numerical computation is utilized to validate the analytical model and to facilitate the observation of the magnetic field variation. A research prototype and a testing platform of magnetic field have been developed for experimental study. The testing platform can move the probe to any position around the spherical actuator and measure the flux density automatically. Experiments are conducted to obtain the flux distribution. Both numerical and experimental results validate the analytical model well.

摘要

球形致动器是一种能够在单个关节中实现多自由度旋转运动的电气装置。永磁体阵列是影响电磁球形致动器输出性能的关键因素。本文提出了一种新型的三维(3D)磁极阵列,以提高系统磁通密度,进而提升输出性能。对于具有3D磁体阵列的球形致动器而言,磁场分布分析极为重要。因此,采用解析、数值和实验方法对磁场进行了研究。基于拉普拉斯方程和球谐函数,解析推导了三维空间中磁标势的通解,然后利用边界条件得到了磁标势和磁通密度的特解。利用数值计算来验证解析模型,并便于观察磁场变化。为了进行实验研究,开发了一个研究原型和一个磁场测试平台。该测试平台可以将探头移动到球形致动器周围的任何位置,并自动测量磁通密度。通过实验获得磁通分布。数值和实验结果均很好地验证了解析模型。

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