Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

A Novel Drive Scheme of Coriolis Mass Flowmeter Based on Adaptive Fuzzy Sliding Mode Control

Authors
Jianxin Ren, Rui Zhang, Tian Zang, Xinghui Yang, Xiaodong Tang
Corresponding Author
Jianxin Ren
Available Online December 2017.
DOI
10.2991/ecae-17.2018.29How to use a DOI?
Keywords
coriolis mass flowmeter; digital-analog drive; adaptive fuzzy sliding mode controller; drive control
Abstract

In this paper, a digital-analog drive system based on adaptive fuzzy sliding mode control is developed to improve the performance of the Coriolis mass flowmeter (CMF). Analog control module is composed of self-oscillation circuit and automatic gain control (AGC), and digital module is designed based on adaptive fuzzy sliding mode controller. Thus, when AGC works in the state of two-phase flow, the intelligent controller plays a role of drive controller to supply the drive coil with the enough voltage. Finally, the proposed approach is verified to be effective with satisfied performance via simulation.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
10.2991/ecae-17.2018.29
ISSN
2352-5401
DOI
10.2991/ecae-17.2018.29How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianxin Ren
AU  - Rui Zhang
AU  - Tian Zang
AU  - Xinghui Yang
AU  - Xiaodong Tang
PY  - 2017/12
DA  - 2017/12
TI  - A Novel Drive Scheme of Coriolis Mass Flowmeter Based on Adaptive Fuzzy Sliding Mode Control
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 133
EP  - 137
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.29
DO  - 10.2991/ecae-17.2018.29
ID  - Ren2017/12
ER  -