本文提出了一种利用扩展卡尔曼滤波器算法来估计BLDCM的转速和位置的方法。
A novel method for speed and rotor position estimation of BLDCM, which applies extend Kalman filter (EKF), is presented in this paper.
设计扩展卡尔曼滤波器进行卫星编队轨道状态估计，数学仿真结果验证了这种导航方案和算法的有效性。
The orbit states estimation is achieved through the extended Kalman filters design. The simulation results verify the validity of this navigation method, and show preferable navigation accuracy.
无轨迹卡尔曼滤波器(ukf)作为扩展卡尔曼滤波器(ekf)的进化算法在许多非线性估计问题上取得了成功的应用。
Unscented Kalman Filter (UKF), which is an evolutional algorithm of Extended Kalman Filter (EKF), has been successfully applied in many nonlinear estimation problems.
无轨迹卡尔曼滤波器(ukf)作为扩展卡尔曼滤波器(ekf)的进化算法在许多非线性估计问题上取得了成功的应用。
Unscented Kalman Filter (UKF), which is an evolutional algorithm of Extended Kalman Filter (EKF), has been successfully applied in many nonlinear estimation problems.
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