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Quality Fuzzy Predictive Control of Water in Drinking Water Systems

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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.

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Correspondence to S. Bouzid or M. Ramdani or S. Chenikher.

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

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Bouzid, S., Ramdani, M. & Chenikher, S. Quality Fuzzy Predictive Control of Water in Drinking Water Systems. Aut. Control Comp. Sci. 53, 492–501 (2019). https://doi.org/10.3103/S0146411619060026

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Keywords:

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