Chen Jie, Hou Zhen-Yu, Li Bin, Wang Si-Cheng
Shanghai University, Shanghai 200072, China.
Rev Sci Instrum. 2022 Apr 1;93(4):045004. doi: 10.1063/5.0072675.
To improve the performance of the vortex flowmeter, a vortex signal model based Kalman filter of the vortex signal processing method is proposed. 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 compared with other methods; the experimental results show that the proposed method has the advantages of adaptive filtering, better anti-interference ability, and faster filtering speed.
为提高涡街流量计的性能，提出了一种基于涡街信号模型的卡尔曼滤波器涡街信号处理方法。根据涡街信号的特点，设计了线性涡街信号模型。结合模糊搜索和迭代算法，通过分析卡尔曼滤波算法的原理和关键参数对卡尔曼滤波算法进行改进。通过仿真和实际流量实验对所提方法进行验证，并与其他方法进行比较；实验结果表明，所提方法具有自适应滤波、抗干扰能力强、滤波速度快等优点。
