摘要
电机定转子间时空分布复杂的径向电磁力作用于定子齿顶,引起电机振动噪声。以一台高速电主轴电机为例,用参数化建模方法建立电机定子模型,通过利用BP神经网络智能算法与有限元方法对电机进行径向电磁力幅值、转矩脉动及平均转矩的初步迭代优化,提出一种不对称齿顶的优化结构削弱作用于定子齿顶幅值较大的径向电磁力,结果表明,该方法可有效降低永磁同步电机的电磁振动。
The radial electromagnetic force with complex space-time distribution between the stator and rotor of the motor acts on the stator tooth top and causes the vibration and noise of the motor.Taking a high-speed motorized spindle motor as an example,the stator model of the motor was established by using the parametric modeling method.Torque ripple and average torque of the motor were preliminarily optimized by using the BP neural network intelligent algorithm and the finite element method.An optimized structure of asymmetrical tooth top was proposed to weaken the radial electromagnetic force with large amplitude of stator tooth top.The results show that the method can effectively reduce the electromagnetic vibration of permanent magnet synchronous motor.
作者
于国健
吴胜男
YU Guojian;WU Shengnan(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
出处
《微特电机》
2023年第9期1-6,共6页
Small & Special Electrical Machines
基金
国家自然科学基金项目(51907129)。
关键词
永磁同步电机
径向电磁力
BP神经网络
不对称齿顶
振动噪声
permanent magnet synchronous motor
radial electromagnetic force
BP neural network
asymmetrical tooth top
vibration noise