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Resistance-capacitance Decoupling Soft-sensing Based on Amplitude and Phase Detection

机译:基于幅度和相位检测的电阻电容解耦软测量

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The problem of Resistance-capacitance (RC) network parameter decoupling estimation is discussed with the background of conductivity measurement. Sinusoidal signal is adopted to excite the RC network, and the response is also the sinusoidal signal which has the same frequency as excitation, but amplitude and phase change. By obtaining the amplitude and phase characteristics of RC network, the value of RC network parameter can be estimated. To eliminate the effect of measurement uncertainty, the multi-sampling of response signal can be used to fit out the function form of response based on the nonlinear least squares method, and then the amplitude ratio and phase difference between response and excitation can be obtained. To ensure the real-time of measurement, gradient method is used to optimization calculation. High measurement accuracy and less iterative times can be achieved, and experimental results show the effectiveness of the proposed method.
机译:以电导率测量为背景,讨论了RC网络参数去耦估计问题。采用正弦信号激励RC网络,响应也是与激励频率相同但幅度和相位变化的正弦信号。通过获得RC网络的幅度和相位特性,可以估算RC网络参数的值。为了消除测量不确定度的影响,可以基于非线性最小二乘法对响应信号进行多次采样,拟合出响应的函数形式,得到响应与激励之间的振幅比和相位差。为了保证测量的实时性,采用梯度法进行了优化计算。实验结果表明,该方法具有较高的测量精度和较少的迭代时间。

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