基于改进T-S模型的热工系统在线辨识算法  

On-line identification algorithm for thermal process based on an improved T-S model

作　　者：王立志[1] 刘丽[2] 韩璞[2] 王东风[2] 

机构地区：[1]山东电力研究院,山东济南250000 [2]华北电力大学控制科学与工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2005年第6期14-17,共4页Journal of North China Electric Power University：Natural Science Edition

摘　　要：提出用一种改进的T-S模型实现非线性系统在线辨识的算法。通过样本与聚类中心矢量之间的贴近度来修正聚类中心,并根据样本到中心矢量的距离对输入数据空间进行划分。在此基础上利用递推最小二乘算法辨识出模型的结论参数。给出了具体的算法步骤,将该方法与其他模糊辨识方法进行比较。结果表明,该方法具有简单、实用、辨识精度高等优点。A new way of on-line identification based on an improved T-S model is presented. The clustering centre vectors are updated by the close degree, which indicates the relation between input vectors and clustering centre. The input data space is partitioned into some local regions by the distance between input data and clustering centre. The conclusion parameters are identified by the recursive least-square identification algorithm. The concrete steps of the algorithm ale given. It is applied to identify the T-S model of the Box-Jenkins model and a coordinated control system of 300 MW unit. The computational results show that this on-line identifier is effective.

关 键 词：在线辨识 T-S模型 热工过程 模糊辨识 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]