由于机械不平衡原因,无轴承开关磁阻电机存在转子质量偏心的问题,这会导致额外的不平衡径向磁拉力,从而使电机的悬浮精度变差,这也是限制电机高速时转速进一步提升的重要因素。分析转子质量偏心对电机悬浮性能的影响,介绍悬浮转子振动控制原理,设计基于最小均方(least—mean—square,LMS)算法的白适应凹陷滤波器,将其加入到无轴承开关磁阻电机(bearinglessswitchedreluctancemotor,BSRIV1)系统中,利用Matlab/Simulink对该振动控制方法进行仿真研究,最后在一台实验样机上进行实验验证。结果表明,基于LMS算法的白适应凹陷滤波器能够在不同的电机转速条件下有效补偿转子的同频振动位移,抑制转子偏心振动,提高转子悬浮精度。
In bearingless switched reluctance motors (BSRMs), the problem of rotor mass eccentric, which caused by mechanical errors, can result in extra and unbalanced radial magnetic force, and therefore worsen the motor suspension performances. Meanwhile, vibration caused by rotor mass eccentric is an important factor to limit the increase of motor speed at high speed. Influences of rotor mass eccentric on suspension performance were analyzed; vibration control principle was introduced; an adaptive notch filter based on least-mean-square (LMS) algorithm was designed and added to the BSRM control system; the vibration control method was simulated with Matlab/Simulink and utilized in experiments. The results show that the adaptive notch filter based on LMS algorithm can effectively compensate rotor vibration displacements at different motor speeds. Thus, the vibration caused by rotor mass eccentric is suppressed and rotor suspension performances are improved.