The time-variable unbalance interference signals exist synchronous with rotor rotational speed in active magnetic bearings system, which will affect the control effects of the system.To filter the unbalance signals, one kind of relatively suitable filter algorithm was proposed through analyzing some kinds of least mean square (LMS) algorithms. According to the real-time variation of the amplitudes and frequency of the interference signals in AMB system, the original LMS algorithm proposed was improved, and the filter effects on time-variable signals about the original and the improved algorithms were compared. The simulation and experimental results show that the new improved LMS algorithm has better ability of following the anticipant signals and convergence to time -variable and small amplitude signals. It can provide convenience to real-time filter compensation for the AMB system.%主动磁悬浮轴承(AMB)系统中存在与转子同频的时变不平衡干扰信号,此信号会影响系统的控制效果.为了滤除这些不平衡信号,通过分析几类最小均方(LMS)误差算法,得出一种相对合适的滤波算法.根据AMB系统中干扰信号的幅值以及频率实时变化情况,对原算法进行了改进,并比较了改进算法与原变步长算法对时变信号的滤波效果.仿真与实验结果显示,改进算法对时变的幅值较小信号具有更好的跟随期望信号能力及收敛能力,为主动磁悬浮轴承系统的实时滤波补偿提供方便.
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