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linearized filter
相关语句
  相似匹配句对
     On the Filter
     关于共轭滤波器
短句来源
     Fluorescent filter
     荧光滤光片
短句来源
     LINEARIZED DECOMPOSITION FOR DIGITAL FILTER DESION WITH TWO -DIMENSIONAL MAGNITUDE SPECIFICATIONS
     二维数字滤波器设计的幅值条件线性化分解
短句来源
     The equation is simplified and linearized.
     在一定的条件下,对此方程进行了简化和线性化,得到了系统的实用数学模型。
短句来源
     The main advantage of the nonlinear design to Kalman filter is that the kinematic equations of motion need not be linearized.
     观测器的最大优点是可以省略采用 Kalman滤波器时线性化船舶运动方程的过程 .
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A method for incorporating linear state inequality constraints in a Kalman filter is proposed and applied to turbofan engine health estimation. The digital turbofan engine model contains 10 state variables, 12 measurements, 6 control inputs and 8 component health parameters.Inequality constraints not only maintain the state variable estimates vary slowly with time in a user-defined limit, but also increase the computational effort of the filter and improve its estimation accuracy. And the system...

A method for incorporating linear state inequality constraints in a Kalman filter is proposed and applied to turbofan engine health estimation. The digital turbofan engine model contains 10 state variables, 12 measurements, 6 control inputs and 8 component health parameters.Inequality constraints not only maintain the state variable estimates vary slowly with time in a user-defined limit, but also increase the computational effort of the filter and improve its estimation accuracy. And the system allows the filter to correct state variable estimates in a direction that the true state variables might never change. The linearized filtering results demonstrate the filter with inequality constraints offered a great improvement over the traditional unconstrained filter, particularly for turbofan engine health estimation.

提出了一种加入线性不等式约束的卡尔曼滤波方法,并用于涡扇发动机的健康状况估计。涡扇发动机数字模型包含10个状态变量、12个量测量、6个控制输入量以及8个健康状况参数。不等式约束不仅保证了状态变量估计在用户自定义的范围内随时间变化平稳缓慢,而且还提高了滤波计算效率,改善了滤波估计精度。同时系统还允许滤波器沿确定的方向修正状态变量估计,以保持状态变量真值恒定。对比传统的无约束卡尔曼滤波,线性化滤波结果显示,该方法对涡扇发动机的健康状况估计尤其行之有效。

 
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