Self-Sensing Three-Pole Magnetic Bearing Using a Kalman Filter
Self-Sensing Three-Pole Magnetic Bearing Using a Kalman Filter
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DOI：
10.1109/sice.2006.315513
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
K. Matsuda;S. Kijimoto;Y. Kanemitsu
中科院分区：
文献类型：
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作者：
K. Matsuda;S. Kijimoto;Y. Kanemitsu
采用一种新的方法设计了自感式主动磁悬浮轴承。该方法通过引入卡尔曼滤波来解决观测器偏差问题。为了验证该方法的有效性，以三极同极磁悬浮轴承为例设计了卡尔曼滤波器，并对转子的径向位移和速度进行了估计。电流由线性功率放大电路驱动流过线圈，线圈端电压通过截止频率为100 Hz的模拟一阶低通滤波器。所设计的卡尔曼滤波器使用滤波后的线圈电压和控制器输入作为输入来计算估计值。不可观测偏差估计为未知状态，卡尔曼滤波估计由测量的输入/输出数据进行数值模拟。结果表明，偏差被成功地估计为与估计位移的测量值重叠
Self-sensing active magnetic bearing is designed by a new approach. The approach aims to solve the observer bias problem by introducing a Kalman filter. In order to verify the validity of the approach, a Kalman filter is designed for a three-pole homopolar magnetic bearing and used to estimate the radial displacement and velocity of the rotor. The electric current is driven by a linear power-amplifier circuit to flow through the coils, and the coil terminal voltage is passed through an analog first-order low-pass filter with a cut-off frequency of 100 Hz. The designed Kalman filter uses the filtered coil-voltage and the controller inputs as an input for calculating the estimate. The unobservable bias is estimated as an unknown state, and the Kalman-filter estimates are numerically simulated by the measured input/output data. The results show that the bias is successfully estimated to overlap the estimated displacement to its measurement