氨合成反应器出口氨含量的预测模型研究  

Prediction model of ammonia content at the exit of ammonia synthesis reactor

作　　者：郑启富[1] 

机构地区：[1]浙江工业大学浙西分校,浙江衢州324006

出　　处：《控制与决策》2003年第4期479-482,共4页Control and Decision

摘　　要：径向基函数网络 (RBFN)具有很强的非线性表达能力 ,循环子空间回归 (CSR)可在更广的空间内为网络模型寻找最优的参数。应用 RBFN- CSR方法为出口氨含量建模 ,取得了满意的效果。A prediction model is proposed for the relation between the ammonia content and its influencing factors. The model can predict the ammonia content, guide production and optimize the operational parameters of the reactor. Because radial basis function networks have strong capability of nonlinear expression and cyclic subspace regression can find the optimal coefficient in wider space, RBFN-CSR approach is applied to modeling for the ammonia content at the exit of the ammonia synthesis reactor, and satisfying results is obtained.

关 键 词：径向基函数网络 循环子空间回归 氨合成 预测模型 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TQ018[自动化与计算机技术—控制科学与工程]