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The Application of BP Algorithm of NN for the Temperature Identification of Shaft Furnace

机译:BP神经网络算法在竖炉温度识别中的应用

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This The pellet sintering process is a physical chemistry process,which is pure time-delay and nonlinear with more variables and discrete parameters.In order to solve this problem,a new BP algorithm of NN for the temperature identification of sintering shaft furnace is introduced in this paper.BP network is combined with PID control and simulation effects are given with MATLAB.The experiment results show this method can make the temperature of firebox conform the requirement of the control standard and can also improve the output and quality of the products.
机译:该球团烧结过程是一个物理化学过程,是一个纯时滞和非线性的,具有更多的变量和离散的参数。为了解决这个问题,引入了一种新的神经网络BP神经网络用于烧结竖炉温度识别。将BP网络与PID控制相结合,并用MATLAB给出了仿真效果。实验结果表明,该方法可使火炉的温度符合控制标准的要求,并能提高产品的产量和质量。

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