论文标题
在实时水质调节中，模型预测控制的有效性如何？状态空间建模和可扩展控制
How Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control
论文作者
论文摘要
水分配网络（WDN）中的实时水质控制（WQC）是调节消毒剂水平的问题，由于缺乏（i）（i）考虑复杂的组件（连接，储罐，储罐，储罐，储罐，管道，管，泵和阀门）在WDN和ii scormits（II）中，考虑到复杂的组件（连接，储罐，水箱，储罐，管道，泵和气门），该组件（II）相应地进行了（II），这是具有挑战性的。 In this paper, we solve the WQC problem by (a) proposing a novel state-space representation of the WQC problem that provides an 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.
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 in WDN and (ii) a corresponding scalable control algorithm that performs real-time 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 an 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.
