神经网络预测控制在分段台车式电阻炉温度控制中的应用

Neural network predictive control in separable bogie-hearth resistance furnace for temperature control

针对分段台车式电阻炉热处理生产过程中的大滞后、升温单向性、大惯性等特点及对温度精确与平稳控制的工艺要求,提出了利用Q系列PLC实现神经网络预测的温度控制系统,并在实际应用中获得了良好的控制效果。

According to the large time delay,unidirectional temperature rising,and large inertia in the heat treatment process of the separable bogie-hearth resistance furnace and the requirements of the heat treatment for accurate and smooth control,the neural network predictive temperature control system implemented by Q series PLC was brought forward and achieved a good control effect in the application.