Based on the decoupling model, a generalized least squares method is used to estimate the range measure bias, and the unscented Kalman filter is used to estimate the other biases. 在此基础上,采用广义最小二乘方法以实现传感器测距误差的估计,不敏滤波的方法则用于实现平台载体的姿态偏差和角度测量偏差的实时估计。
The serial decoupling of dynamic model in Kalman filter 卡尔曼滤波中动态模型的分级解耦
Experiments have proven that one-order decoupling filter is feasible. 解耦滤波器为一阶,实验证明是可行的。
First, the inverse system method was used to realize the dynamic decoupling between rotor speed and flux. Then, the signals of rotor speed and flux were estimated with an extend Kalman filter ( EKF). 采用逆系统方法将感应电机的转速和转子磁链进行动态解耦,并由扩展的Kalman滤波器(EKF)对转速及转子磁链进行实时估计。
The hardwares include shield, decoupling, filter, isolation, and grounding. 其中硬件措施有屏蔽技术、去耦技术、滤波技术、隔离技术及接地技术等;
The paper proposed a new decoupling control strategy for the above problem. In this paper, the filter inductance is regarded as an inner resistance of the power source. A transformation relationship is proposed based on the idea of changing the inner resistance of the power source. 针对该问题,本文提出了一种解耦控制策略,将滤波电感看成是电源内部的阻抗,并从改变电源内部阻抗思想出发,推导出变换关系式,使三相电压控制实现解耦。
In the end, the optimal decoupling strategy for robust fault detection filter method and its application for large-scale interconnected systems are also discussed. 最后,研究最优解耦策略鲁棒故障检测滤波器方法及其在关联大系统中的应用。