基于迭代学习控制的主动磁轴承跳动补偿

C. Bi, Dezheng Wu, Q. Jiang, Z. Liu
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引用次数: 2

摘要

主动磁轴承是新一代硬盘主轴电机的理想选择。本文提出了一种迭代学习控制方案,以抑制由不平衡力引起的转子毒跳。该控制器通过迭代“学习”转子跳动信息来产生同步补偿力。这种补偿力使转子绕其几何轴旋转
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Runout compensation in active magnetic bearings with iterative learning control scheme
Active magnetic bearing is a promising candidate for next generation spindle motors of hard disk drives. In this paper, an iterative learning control scheme is proposed to suppress the rotor poison runout induced by the unbalanced forces in AMB. The ILC controller can produce the synchronous compensation force by iteratively "learning" rotor runout information. This compensation force makes the rotor rotate about its geometric axis
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