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Automatic Control and Computer Sciences

, Volume 53, Issue 6, pp 492–501 | Cite as

Quality Fuzzy Predictive Control of Water in Drinking Water Systems

  • S. BouzidEmail author
  • M. RamdaniEmail author
  • S. ChenikherEmail author
Article

Abstract

With the big demand on water supply during the last century due to population growth, the approbation of new technology to assure water quality at lower cost is essential. This paper presents a drinking water distribution system (DWDS) based on a nonlinear fuzzy modeling technique. The approach uses a multi-input multi-output (MIMO) Takagi–Sugeno (T–S) fuzzy model, which is relevant for constructing a large class of nonlinear processes. The proposed framework is validated on a real drinking water distribution system, the MIMO fuzzy T–S model was implemented, in the context of nonlinear predictive control to regulate the water quality (the chlorine concentration in drinking water). The objective is to keep the system outputs within upper and lower limits from the requirement of health regulations.

Keywords:

Takagi–Sugeno fuzzy model model predictive control DWDS water quality chlorine Concentration 

Notes

CONFLICT OF INTEREST

The authors declare that they have no conflicts of interest regarding the publication of this paper.

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Copyright information

© Allerton Press, Inc. 2019

Authors and Affiliations

  1. 1.Laboratory of Automatics and Signal, Department of Electronic, University of Badji MokhtarAnnabaAlgeria
  2. 2.Department of Electrical Engineering, Faculty of Engineering, University of Larbi TebessiTebessaAlgeria

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