罩式退火炉温控系统的神经网络PID预测控制

罩式退火炉温控系统是一类具有大滞后及模型慢时变系统,采用传统控制方法其效果并不理想.因此,将神经网络PID预测控制思想应用于罩式退火炉温控系统,利用灰色预测模型与四阶龙格库塔法相结合对罩式退火炉温控系统的行为进行预测,同时结合神经网络PID控制器克服预测误差、系统干扰等不确定因素带来的影响,提高系统的自适应性.仿真结果表明,系统运行平稳,受不确定因素的影响较小,对罩式退火炉温控系统具有良好的控制效果.

Neuron Network PID Prediction Control for Temperature Control System of Mantling Anneal Boile

Temperature control system of mantling anneal boiler is a kind of great delay and model slow changes system,it is unfavorable to control it with traditional controller.So,neuron network PID prediction control is used for temperature control system of mantling anneal boiler.Grey prediction model and fourth order Runge-Kutta are introduced for predictive model.The behaviors of temperature control system of mantling anneal boiler is predicted.At the same time,neuron network PID controller is used to overcome the effect of uncertain factors such as error in predicition,disturbance in systems and so on.In computer simulation,the systems exert stabily,and the effect of uncertain factors is small.The system has good control effect to temperature control system of mantling anneal boiler.