Control algorithm and application of a new fuzzy-Kalman filter
一种新的模糊-卡尔曼滤波器的控制算法及应用

A new fuzzy-Kalman filter is presented to meet the requirement of accurate and quick prediction of the tube's movement in high speed cutting machine.Two fuzzy surfaces are used to represent respectively the relation between process noise and the mean and covariance of residual,as well as the relation between measurement noise and the mean and covariance of residual,which makes the reasoning of fuzzy rule unnecessary.The relation between the filter sampling time and cutting error is fuzzed.The capability of tracking and the prediction of cutting error are improved by the filter with this structure.The simulation shows that the new fuzzy-Kalman filter has advantages over those available methods in higher speed and better stability in reducing cutting error and improving precision.