Redundant flow estimation methods for robust hydraulic control in water supply networks
File(s) HYDRO-D-18-00099_R2.pdf (4.51 MB)
Accepted version
Author(s)
Changklom, Jiramate
Stoianov, Ivan
Type
Journal Article
Abstract
The implementation of robust hydraulic control in water supply networks relies upon the utilisation of redundant flow estimation methods. In this paper, we propose a novel model-based flow estimation method for diaphragm actuated globe valves based on three pressure signals, namely the valve inlet pressure, valve outlet pressure and control chamber pressure (the 3P flow estimation method). The proposed flow estimation method relies upon the accurate determination of a valve stem position based on a force balance analysis for the diaphragm of a valve, the measured pressure differential across a valve and the flow coefficients of a valve (Cv, Kv). A novel stem position estimation model for diaphragm actuated globe valves has been formulated and experimentally validated. The non-linear parameterised valve stem position estimation model results in multiple solutions. We combine advances in signal processing with support vector machine classification to find a correct solution. We compare the proposed 3P flow estimation method with a method, which uses stem position sensor measurements of a valve and two pressure signals. A unique set of experimental data have been acquired for performance validation. We derive uncertainty bounds for the proposed flow estimation method and demonstrate its application for robust pressure control in water supply networks.
Date Issued
2019-07-01
Date Acceptance
2019-04-11
Citation
Journal of Hydroinformatics, 2019, 21 (4), pp.571-592
ISSN
1464-7141
Publisher
IWA Publishing
Start Page
571
End Page
592
Journal / Book Title
Journal of Hydroinformatics
Volume
21
Issue
4
Copyright Statement
© IWA Publishing 2019
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
EP/P004229/1
Subjects
0905 Civil Engineering
Environmental Engineering
Publication Status
Published
Date Publish Online
2019-04-29
