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Categorization of trapezoidal open channels based on flow conditions for the choice of simple models

机译:根据流动条件对梯形明渠进行分类,以选择简单的模型

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摘要

Many applications in water management rely on keeping the water levels of an open water channel within given bounds, e.g. irrigation canals, drainage systems, and hydropower systems. These are all open water channels where the water level is influenced by several known and unknown factors like precipitation, operation of structures, etc. Water levels can be efficiently controlled by model predictive control (MPC). In MPC the optimization algorithms give advice at every time step based on the current state of the system as well as on the expected future state. These algorithms need a model to predict the response of the system to the control inputs. In most cases, the need to guarantee convexity of the optimization problem leads to the requirement that these models should be linear. To date, several such linear models are available in literature, which are suited for control purposes. However, the choice between these models is not straightforward. In this work, we extend a categorization of open channels, based on which the choice of a simple model can be advised.
机译:水资源管理中的许多应用都依赖于将开放水道的水位保持在给定范围内,例如灌溉渠,排水系统和水力发电系统。这些都是开放水道,水位受几个已知和未知因素(例如降水,建筑物的运行等)的影响。可以通过模型预测控制(MPC)有效地控制水位。在MPC中,优化算法会根据系统的当前状态以及预期的未来状态在每个时间步提供建议。这些算法需要一个模型来预测系统对控制输入的响应。在大多数情况下,需要保证优化问题的凸性,导致要求这些模型应该是线性的。迄今为止,文献中已有几种此类线性模型适用于控制目的。但是,在这些模型之间进行选择并不简单。在这项工作中,我们扩展了开放渠道的分类,在此基础上可以建议选择简单的模型。

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