基于卡尔曼滤波的涡街流量计信号处理方法研究

Research on Signal Processing Method of Vortex Flowmeter Based on Kalman Filter

为了改善涡街流量计的性能,提出了一种基于卡尔曼滤波的涡街信号处理方法。根据涡街信号的特点,设计了一个线性涡街信号模型。结合模糊搜索和迭代算法,通过分析卡尔曼滤波器算法的原理和关键参数,改进卡尔曼滤波器算法。通过仿真模拟和实际流量实验验证了所提出的方法,并与其他方法进行了比较。实验结果表明,所提出的方法具有自适应滤波、更好的抗干扰能力和更快的滤波速度的优点。

To improve the performance of the vortex flowmeter,a vortex signal processing method based on the Kal-man filter is proposed in this paper.According to the characteristics of the vortex signal,a linear vortex signal model is designed.Combining the fuzzy search and iterative algorithm,the Kalman filter algorithm is improved by analyzing the principle and key parameters of the Kalman filter algorithm.The proposed method is verified by simulation and real flow experiments,and is compared with other methods.The experimental results show that the proposed method has advantages of adaptive filtering,better anti-interference ability,and faster filtering speed.