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State estimation method based on a Kalman filter for capacitive and inductive motor states
State estimation method based on a Kalman filter for capacitive and inductive motor states
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机译:基于卡尔曼滤波器的电容性和电感性电机状态状态估计方法
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摘要
The method involves determining an actuating variable vector for sampling points. Two system model functions for sampling points are determined for describing a power electronics system (1), where the functions are based on an actuating variable vector and a system state vector for the sampling points. The system state vector is estimated by varying the state vector and another system state vector for each sampling point and by selecting the former system state vector, and the model functions are piecewisely affine-linear.
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