大滞后生产过程的智能式补偿预测控制
Intelligent Compensative Predictive Control for Long Time Delay Industrial Processes
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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.Abstract: 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.
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Key words:
- Long time delay process /
- predictive control /
- artificial intelligence /
- model error /
- robustness
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