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The open real-time control (RTC)-Tools software framework for modeling RTC in water resources sytems

机译:开放的实时控制(RTC)-工具软件框架,用于对水资源系统中的RTC进行建模

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摘要

Real-time control-Tools is a novel software framework for modeling real-time control and decision support in water resources systems. It integrates different control paradigms ranging from simple feedback control strategies with triggers, operating rules and controllers to advanced optimization-based approaches such as model predictive control (MPC). A key feature of the package is the modular integration of modeling components, related adjoint models, and optimization algorithms which makes it well suited for the control of large-scale water systems. Interfaces enable its integration into Supervisory Control and Data Acquisition systems, operational stream flow forecasting, and decision support systems as well as hydraulic modeling packages. This paper presents an overview of the novel software framework, gives an introduction into the underlying control theory for which it has been developed and discusses the related software architecture. A first case describes an innovative combination of binary decision trees and feedback control in application to the modeling of a highly regulated River Rhine reach along the German-French border. Two additional cases present the efficient application of MPC to the short-term management of two large-scale water systems in the Netherlands and the USA.
机译:实时控制工具是一种新颖的软件框架,用于对水资源系统中的实时控制和决策支持进行建模。它集成了不同的控制范式,从带有触发器,操作规则和控制器的简单反馈控制策略到基于模型预测控制(MPC)的基于优化的高级方法。该软件包的主要功能是建模组件,相关伴随模型和优化算法的模块化集成,使其非常适合于大型水系统的控制。接口使其能够集成到监督控制和数据采集系统,可操作的流量预测和决策支持系统以及液压建模软件包中。本文概述了新颖的软件框架,介绍了已开发的基础控制理论,并讨论了相关的软件体系结构。第一个案例描述了二进制决策树和反馈控制的创新组合,将其应用于对沿德国-法国边界的高度管制的莱茵河的建模。另外两个案例表明,MPC在荷兰和美国的两个大型水系统的短期管理中得到了有效的应用。

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