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Artificial neural networks and fuzzy logic based control of spillway gates of dams

机译:基于人工神经网络和模糊逻辑的大坝溢洪道闸门控制

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摘要

In this paper a new and efficient control method based on fuzzy logic is proposed for real-time operation of spillway gates of a reservoir during any flood of any magnitude up to the probable maximum flood. Artificial neural networks are used to model the non-linear relationship among the main variables of the reservoir under consideration. In order to demonstrate the performance of the proposed method, we simulate the control system using different probable overflow hydrographs. The results of the proposed control method are compared with the results of the conventional control methods. The results obtained from the simulations indicate that the proposed method exhibits superior performance over the conventional reservoir flood operation, with much more flexible results.
机译:本文提出了一种基于模糊逻辑的新型高效控制方法,用于在任何大小的洪水到可能的最大洪水期间水库溢洪道闸门的实时运行。人工神经网络用于对所考虑的储层主要变量之间的非线性关系进行建模。为了证明所提出方法的性能,我们使用不同的可能溢流水位线模拟了控制系统。将所提出的控制方法的结果与常规控制方法的结果进行比较。从模拟中获得的结果表明,所提出的方法表现出优于常规水库洪水作业的性能,且结果更为灵活。

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