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Enhancing inland navigation by model predictive control of water levels: The Cuinchy-Fontinettes case

机译:通过模型预测控制水位来增强内陆航行:Cuinchy-Fontinettes案例

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摘要

Navigation canals are used for transport purposes. In order to allow safe navigation the water level should be kept in a certain range around the Normal Navigation Level (NNL). The water level is disturbed by known and unknown inputs, like tributaries, municipal water flows, rain, etc. Some of these inputs can be used to control the water level. If the geometry requires it, canal reaches are connected by locks. The operation of these locks sometimes can disturb the water level, if the difference between the upstream and downstream water level is large. The objective is to minimize the disturbances caused by these lock operations on the water level in order to maintain the NNL. In this work the global management of the canal reach is discussed and an option to maintain the NNL by active control is introduced. Some inputs to the system, such as other confluences or gates on the side of the locks, can be controlled automatically to react to the disturbances caused by the lock operations using model predictive control to maintain the desired water level.
机译:航道用于运输目的。为了安全航行,水位应保持在正常航行水位(NNL)的一定范围内。水位会受到已知和未知输入(例如支流,市政水流量,雨水等)的干扰。其中一些输入可用于控制水位。如果几何需要,则通过锁将运河段连接起来。如果上游和下游水位之差很大,这些锁的操作有时会干扰水位。目的是将这些锁定操作对水位造成的干扰降到最低,以保持NNL。在这项工作中,讨论了运河范围的全球管理,并介绍了通过主动控制来维护NNL的选项。使用模型预测控制以维持所需的水位,可以自动控制系统的某些输入(例如,锁旁边的其他汇合处或大门),以对锁操作造成的干扰做出反应。

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