基于最小均方自适应滤波的气固两相流参数测量方法

Gas-solid two-phase flow parameter measurement method based on least mean square adaptive filter

针对气固两相流参数测量中信号噪声先验知识未知的问题,提出一种基于最小均方自适应滤波的气固两相流交流电信号处理方法,利用浮点型DSP-TMS320F28335处理器采集静电传感器的交流电信号,并对采集到的信号利用最小均方自适应滤波算法进行处理,按照均方误差最小准则来调节滤波器权值达到最优,实现最优滤波。最后,在气固两相流流速测量实验平台上,对气固两相流固相流速进行实时在线测量。实验结果验证了该方法可提高气固两相流流速的测量精确性和稳定性。

In view of the problem that the prior knowledge of the signal and noise is unknown in the parameter measurement of gas-solid two-phase flow,the least mean square adaptive filtering method is used to process the of gas-solid two-phase flow alternating current signal.Using the floating point DSP-TMS320F28335 processor to collect the AC signal of the electrostatic sensor,the collected signals are processed by the least mean square adaptive filtering algorithm.The least mean square adaptive filtering algorithm adjusts the filter weight according to the minimum mean square error criterion to achieve the optimum and the optimal filtering.Finally,based on measuring the velocity of solid-phase flows in real time online on the experimental platform of gas-solid two-phase flow measurement.The experimental results show that the method can improve the accuracy and stability of gas-solid two-phase flow.