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基于T-S模型的磨煤机存煤量的模糊辨识
引用本文:王烨,常喜茂,王建.基于T-S模型的磨煤机存煤量的模糊辨识[J].东北电力技术,2011,32(8):4-7.
作者姓名:王烨  常喜茂  王建
作者单位: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
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.

关 键 词:T-S模型  模糊聚类法  磨煤机存煤量

T-S Fuzzy Identification of Pulverizer Coal Reserves Volume Based on T-S Model
Abstract: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.
Keywords:T-S fuzzy model  Fuzzy clustering algorithm  Pulverizer coal reserves volume  
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