一种两阶段钢铁企业氧气系统平衡调整方法  

A Two-stage Adjustment Method for the Balance of the Oxygen System in Steel and Iron Enterprises

作　　者：张乾乾[1] 赵珺[1] 盛春阳[2] 王伟[1] 刘颖[1] 

机构地区：[1]大连理工大学控制工程与工程学院,辽宁大连116024 [2]山东科技大学电气与自动化工程学院,山东青岛266590

出　　处：《控制工程》2017年第4期716-721,共6页Control Engineering of China

基　　金：国家863计划(2013AA040703);国家自然科学基金(61304213,61273037,61473056);中央高校基本科研业务费专项资金(DUT13RC203)

摘　　要：针对钢铁企业氧气系统的供应与需求存在的不平衡问题,提出一种钢铁企业氧气系统两阶段实时平衡调整方法,用于实时在线确定氧气系统的调整方案。第一阶段采用基于高斯过程分类器确定未来时刻某一点是否为调整点。第二阶段采用基于改进细菌觅食算法的模糊T-S模型确定具体的调整量:使用FCM算法对输入输出空间划分并提取T-S模型的前件隶属函数参数,同时利用改进的细菌觅食算法优化T-S模型前件隶属度函数的参数。对国内某著名钢铁企业氧气系统数据实验表明本文所提方法能够根据氧气系统工况变化准确计算调整设备的调整值。As to the imbalances in supply and demand for the oxygen system in steel and iron enterprises, a two-stage real time adjustment method is proposed to determine the adjustment scheme online for the balance of the oxygen system. For the first stage, a classifier based on Gaussian process is designed to determine whether the present time is an adjustment time point or not. The adjustment value is determined in the second stage based on T-S model with parameter optimization： Firstly, fuzzy C-means clustering algorithm is used to divide the input/output space and extract the antecedent membership function parameters of the T-S model, then the improved bacterial foraging optimization algorithm is presented to optimize the parameters of the antecedent membership functions. The experimental results based on the data of the real oxygen system in one iron-making enterprise show that the proposed method can calculate the adjustment value accurately according to the variable conditions of the oxygen system.

关 键 词：氧气系统 高斯过程 细菌觅食算法 T-S模型 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]