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Digital algorithms for parameter estimation of multiple signals using numerical differentiation

机译:利用数值微分估计多个信号参数的数字算法

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A novel algorithm for amplitude and phase estimation of the multi-component signals is presented in this paper. The proposed algorithm is based on numerical differentiation and central Lagrange interpolation, and needs 1 signal sample with 7 points and 1 computation process. With any frequency value of component 1, 2 and 3 of the signal over 1 Hz to 100 kHz, the amplitude and phase angle of the signal are all estimated at an accuracy of higher than 0.1% with the amplitudes of the component 1,2 and 3 varying from 1 V to 200 V and the phase angle of the component 1, 2 and 3 varying from 0 to 360. Spending at most half cycle for parameter estimation of the multi-component, so that the proposed algorithm is adaptive to any intelligent measurement and control. A testing example is given to illustrate the proposed algorithm, with the simulation is carried out in Matlab software.
机译:提出了一种新的多分量信号幅度和相位估计算法。该算法基于数值微分和中心拉格朗日插值,需要1个7点信号样本和1个计算过程。对于信号分量1、2和3在1 Hz到100 kHz范围内的任何频率值,信号分量的幅度和相位角都以高于分量1,2和3的幅度的0.1%的精度进行估算。 3在1 V至200 V范围内变化,而组件1、2和3的相角在0至360之间变化。最多花费半个周期用于多组件的参数估计,因此,所提出的算法适用于任何智能设备。测量和控制。给出了一个测试实例来说明所提出的算法,并在Matlab软件中进行了仿真。

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