Iterative Learning Pressure Control in Water Distribution Networks

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

Proper management of pressure in water distribution networks is important, since leakages are more likely to occur if the pressure in the network is unnecessarily high with the consequence that the produced water is wasted. Furthermore, too low pressure will lead to reduced comfort of end-users and a potential increased risk of pollutants entering the network. In this paper, we investigate control actions for management of pressure in water distribution networks with multiple inlets. In particular, the problem of controlling the pressure at the network inlets to accommodate pressure requirements at designated network vertices, where the pressure is measured, is addressed. In this paper, we propose an Iterative Learning type control structure, as the behaviour of the consumers in water distribution networks is typically periodic in nature. Numerical and experimental results show that the proposed controller is able to fulfil the requirements.

Original languageEnglish
Title of host publication2018 IEEE Conference on Control Technology and Applications (CCTA)
Number of pages6
PublisherIEEE
Publication date2018
Pages583-588
Article number8511513
ISBN (Print)978-1-5386-7699-8
ISBN (Electronic)978-1-5386-7698-1
DOIs
Publication statusPublished - 2018
Event2018 IEEE Conference on Control Technology and Applications (CCTA) - The Scandic Hotel Copenhagen, Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018

Conference

Conference2018 IEEE Conference on Control Technology and Applications (CCTA)
LocationThe Scandic Hotel Copenhagen
CountryDenmark
CityCopenhagen
Period21/08/201824/08/2018
SeriesIEEE Conference on Control Technology and Applications (CCTA)

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