Real-time water quality control (WQC) in water distribution networks (WDN), the problem of regulating disinfectant levels, is challenging due to lack of (i) a proper control-oriented modeling considering complicated components (junctions, reservoirs, tanks, pipes, pumps, and valves) for water quality modeling and (ii) a corresponding scalable control algorithm that performs realtime water quality regulation. In this paper, we solve the WQC problem by (a) proposing a novel state-space representation of the WQC problem that provides explicit relationship between inputs (chlorine dosage at booster stations) and states/outputs (chlorine concentrations in the entire network) and (b) designing a highly scalable model predictive control (MPC) algorithm that showcases fast response time and resilience against some sources of uncertainty.

中文翻译：

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模型预测控制在实时水质调节中的效果如何？状态空间建模和可扩展控制

供水网络 (WDN) 中的实时水质控制 (WQC)，即调节消毒剂水平的问题，由于缺乏 (i) 考虑到复杂组件（接头、水库、水箱、管道）的适当的面向控制的建模而具有挑战性、泵和阀门）用于水质建模和 (ii) 相应的可扩展控制算法，用于执行实时水质调节。在本文中，我们通过 (a) 提出 WQC 问题的新状态空间表示来解决 WQC 问题，该表示提供输入（增压站的氯剂量）和状态/输出（整个网络中的氯浓度）之间的明确关系，以及(b) 设计一种高度可扩展的模型预测控制 (MPC) 算法，该算法展示了对某些不确定性来源的快速响应时间和弹性。