Imperial College London

DrIvanStoianov

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6035ivan.stoianov Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

408Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Changklom:2019:10.2166/hydro.2019.099,
author = {Changklom, J and Stoianov, I},
doi = {10.2166/hydro.2019.099},
journal = {Journal of Hydroinformatics},
pages = {571--592},
title = {Redundant flow estimation methods for robust hydraulic control in water supply networks},
url = {http://dx.doi.org/10.2166/hydro.2019.099},
volume = {21},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Changklom,J
AU - Stoianov,I
DO - 10.2166/hydro.2019.099
EP - 592
PY - 2019///
SN - 1464-7141
SP - 571
TI - Redundant flow estimation methods for robust hydraulic control in water supply networks
T2 - Journal of Hydroinformatics
UR - http://dx.doi.org/10.2166/hydro.2019.099
UR - http://hdl.handle.net/10044/1/68792
VL - 21
ER -