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Method for predicting and controlling water level of series of water conveyance canals on basis of fuzzy neural network
Method for predicting and controlling water level of series of water conveyance canals on basis of fuzzy neural network
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机译:基于模糊神经网络的水平预测和控制水位的方法
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摘要
Disclosed is a method for predicting and controlling the water level of a series of water conveyance canals on the basis of a fuzzy neural network. The method comprises: conducting the relationship between the opening degree of a gate and the controlled water level of an open channel by means of a fuzzy neural network, and constructing a before-gate water level controller coupled to a predictive control algorithm; on the basis of a control objective of the before-gate water level controller, solving an optimal control rate of the before-gate water level controller by means of a gradient optimization algorithm; and on the basis of the solved optimal control rate, generating a control policy by collecting measured water level change information and multiplying same by the optimal control rate, and thereby achieving the aim of water level prediction and control.
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