基于T-S模型的磨煤机存煤量的模糊辨识  

T-S Fuzzy Identification of Pulverizer Coal Reserves Volume Based on T-S Model

作　　者：王烨[1] 常喜茂 王建[1] 

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003 [2]华仿电控有限公司,河北保定071003

出　　处：《东北电力技术》2011年第8期4-7,共4页Northeast Electric Power Technology

摘　　要：针对火电厂磨煤机存煤量无法直接测量的问题,应用模糊聚类算法来辨识磨煤机存煤量的T-S模糊模型,在Matlab上仿真。计算机仿真结果表明,其预测结果的准确度与适应工况变化的能力均优于硬件在线仪表的性能,对于实现火电厂经济运行有益。Fuzzy clustering algorithm is used to identify T-S fuzzy model for pulverizer coal reserves volume simulating on Matlab,considering no direct measurement of coal reserves volume in fossil-fired power plants.The simulation shows both the accuracy of the expected outcome and the ability to adapting the operational condition is superior to the performance of hardware on-line instrument,which is helpful to economical operaiton in the power plants.

关 键 词：T-S模型 模糊聚类法 磨煤机存煤量 

分 类 号：TM223.25[一般工业技术—材料科学与工程]