摘要
利用智能建模的方法修正系统的预测输出，提高了预测输出的精度．通过预测控制与人工智能方法的结合，建立了一种适于大滞后生产过程的控制方法．这一方法已成功地应用于小氮肥生产的氢氮比控制中．
This paper modifies the prediction output by intelligent modeling in order to compensate the prediction, thus raises the precision of the system output. With the association of predictive control and artificial intelligence, a new control method which fits for long time-delay processes is obtained. This method has already successfully applied in the control of the H/N ratio in small nitrogenous fertilizer plants.
出处
《自动化学报》
EI
CSCD
北大核心
1995年第4期494-498,共5页
Acta Automatica Sinica
关键词
预测控制
补偿预测控制
生产过程
Long time delay process
predictive control
artificial intelligence
model error
robustness.
