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首页> 外文会议>International Conference on Fluid Power Transmission and Control(ICFP' 2005); 20050405-08; Hangzhou(CN) >Prediction of Coiling Temperature of Hot Rolled Strip Based on Neural Network
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Prediction of Coiling Temperature of Hot Rolled Strip Based on Neural Network

机译：基于神经网络的热轧带钢卷取温度预测

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摘要

Hot strip coiling temperature is one important parameter of performance index in hot rolled strip, and its control system is highly nonlinear. The coiling temperature of hot rolled strip is exactly predicted based on neural network (NN) by means of its approximation to any non-linear system and its ability of approximation to any nonlinear system and its ability of prediction. Additional momentum method, which is an improved BP algorithm, is used in the NN. A new coiling temperature control system based on NN combined with mathematical model is presented. Its feed-forward control is based on the NN, and its feed-backward control is based on mathematic model. Finally, the prediction by the NN shows that the control performance is satisfactory, and it can make mathematical model of coiling temperature identified.
机译：热轧卷取温度是热轧带材性能指标的重要参数之一，其控制系统是高度非线性的。基于神经网络（NN），通过对任何非线性系统的近似，对非线性系统的近似能力及其预测能力，可以精确地预测热轧带钢的卷取温度。 NN中使用了额外的动量方法，这是一种改进的BP算法。提出了一种新的基于神经网络结合数学模型的卷取温度控制系统。其前馈控制基于神经网络，其前馈控制基于数学模型。最后，神经网络的预测表明控制性能令人满意，并且可以建立卷取温度的数学模型。

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