基于RBF的纸浆连续蒸煮智能控制  

Intelligent Control of Continuous Cooking Based on the RBF

作　　者：陈蓓[1] 胡南江[1] 

机构地区：[1]陕西科技大学电气与信息工程学院,陕西西安710021

出　　处：《黑龙江造纸》2008年第2期20-22,共3页Heilongjiang Pulp & Paper

摘　　要：针对纸浆连续蒸煮常规仪表控制中所存在的缺点,提出了用RBF网络来建立连续蒸煮过程的控制模型。通过改变蒸煮压力来克服用碱量及其浓度的波动对纸浆硬度的影响,从而达到稳定纸浆硬度的目的。仿真结果和实际应用都表明,用这种方法设计的控制器有很高的精度,很好的鲁棒性。To overcome the defects of general instrument control, control model of continuous cooking process is built by RBF neural network in this paper. It can be get stable pulp hardness through altering cooking pressure, which can deal with the influence of fluctuating of amount soda and consistency on pulp hardness. Simulation and practical running results indicate that the RBF neural network control method has some excellent features, such as high accuracy and well robustness.

关 键 词：RBF 神经网络 连续蒸煮 纸浆硬度 

分 类 号：TS736[轻工技术与工程—制浆造纸工程]