Abstract
As a resonate sensor, Coriolis Mass Flowmeter (CMF) provides a direct measurement of mass flow and is widely used in flow measurement field. However, defect of dynamic characteristics has become the main factor which restricts its further application in batch filling processes. Based on theoretical analysis, a dynamic compensation system, BP (Back-Propagation) neural network dynamic compensation method is designed in order to solve this problem. Adding a neural network dynamic compensation segment after the sensor’s output, the method uses the gradient descent method with an additional momentum factor for neural network training. Studies have shown that this method greatly improves the dynamic characteristics of the Coriolis mass flowmeter.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Reizner, J.R., Comput. Control, 2003, vol. 14, no. 4, p. 28.
Dezhi, Z., Zongling, W., and Shangchun, F., Industrial Electronics and Applications (ISIEA 2010), Penang, Malaysia, 2010, pp. 46–49.
Kejun, X. and Ming, Y., Chinese J. Sci. Inst., 1999, vol. 20, no. 5, p. 541.
Junqing, H., Kinetics in Measuring System, Beijing: National Defense Industry Press, 1996, p. 108.
A-long, Yu., Proc. 2nd Int. Conf. on Information Science and Engineering (ICISE2010), Hangzhou, China, 2010, p. 1.
Eichst, S., Link, A., Bruns, T., and Elster, C., Measurement, 2010, vol. 43, p. 708.
Wang, Y., Huang, G.X., and Peng, D.G., Proc. 1st IEEE Conf. on Industrial Electronics and Applications, Shanghai: China, 2006.
Gang, L. and Xueren, L., Transducer and Microsystem Technol., 2007, vol. 26, no. 7, p. 70.
Shanchun, F., The Technology and Application of Sensor, Beihang University Press, 2004, p. 325.
Changhong, D., The Application of Neural Networks in MATLAB, Beijing: National Defense Industry Press, 2007, p. 64.
Zhonghua, Z. and Jianning, D., Mechan. Electron., 2008, vol. 6, p. 75.
Marconato, A., Hu, M., Boni, A., and Petri, D., IEEE Trans. Instr. Meas., 2008, vol. 57, p. 689.
Tan, K.K., Huang, S.N., and Lee, T.H., Measurement, 2003, vol. 34, no. 2, p. 143.
Tian, W. and Liu, J., Proc. 2nd Int. Conf. on Computer Modeling and Simulation, Bejing, China, 2010, vol. 2, p. 38.
Jiandong, M. and Dengxin, H., J. Sensors and Actuators, 2007, vol. 20, p. 2284.
Author information
Authors and Affiliations
Corresponding author
Additional information
The article is published in the original.
Rights and permissions
About this article
Cite this article
Zheng, D., Peng, P. & Fan, S. A research of dynamic compensation of coriolis mass flowmeter based on BP neural networks. Instrum Exp Tech 56, 365–370 (2013). https://doi.org/10.1134/S0020441213020127
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0020441213020127