基于FUZZY ARTMAP的加氢裂化分馏塔MIMO软测量

研究了一类多输入多输出 (MIMO)系统的软测量问题 ,将FuzzyARTMAP网络应用于加氢裂化分馏塔产品质量估计软测量 ,经实际过程数据验证指出此算法具有较强的分类及非线性多维映射能力 ,结合提出的多变量模糊PID在线校正算法 ,使所建软测量模型在线应用时具有一定的随工况变化不断校正的能力 .

MIMO SOFT SENSORS FOR HYDROCRAKING FRACTIONATOR VIA FUZZY ARTMAP

A kind of MIMO soft-sensing modeling is studied in this paper. In an oil refinery,hydrocracking fractionator produces three products,light naphtha,heavy naphtha and jet fuel,and the endpoints of these three products are the main specification for evaluating the product quality.Because the endpoint is a kind of analysis indicator.it is very difficult to obtain the value online.Fuzzy ARTMAP network is used to build the MIMO soft-sensing models based on practical process data for estimating three endpoints of hydrocracking fractionator online.The generalization results can satisfy the precision reauiremnnts of process technology.It proves that fuzzy ARTMAP has the ability of classification and multidimensional nonlinear maps Considcring the frequent changes of the practical operating conditions,the soft sensor should have the adaptive ability to overcome the uncertain system disturbances and the fluctuation of the operating conditions.A multivariable fuzzy PID online rectification algorithm is then proposed for this objective.Combining with the proposed online rectificati on algorithm,the fuzzy ARTMAP-based soft sensor provides an effective method for multivariable nonlinear MIMO soft sensing modeling.