| 基于最小均方自适应滤波器的热工过程建模方法 |
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| 引用本文： | 刘吉臻,朱红路,常太华,田亮,高伟,童文洪.基于最小均方自适应滤波器的热工过程建模方法[J].中国电机工程学报,2010(5). |
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| 作者姓名： | 刘吉臻 朱红路 常太华 田亮 高伟 童文洪 |
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| 作者单位： | 华北电力大学自动化系;福建华电可门发电有限公司; |
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| 基金项目： | 国家自然科学基金项目(50776030); 国家863高技术基金项目(2007AA04Z163)~~ |
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| 摘 要： | 针对热工对象的时变性特点及其在运行过程中易受到不确定性干扰的影响,提出一种基于最小均方(least mean square,LMS)自适应滤波器的热工过程建模方法。LMS滤波器以未知对象的输入和输出作为激励和期望信号,通过最速下降法得到未知对象的有限脉冲响应(finity impluse response,FIR)模型,其与差分方程或传递函数是等价的。实验仿真和某电厂实际运行数据验证了该算法的有效性。这种建模方法避免了复杂的机理分析,其抽头权值的分布可以表征热工对象的动态特性,为分析热工对象提供了一种手段。
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| 关 键 词： | 热工过程 在线建模 最小均方算法 自适应滤波器 |
Modelling Method of Thermal Process Based on Least Mean Square Adaptive Filter |
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| LIU Ji-zhen,ZHU Hong-lu,CHANG Tai-hua,TIAN Liang,GAO Wei,TONG Wen-hong.Modelling Method of Thermal Process Based on Least Mean Square Adaptive Filter[J].Proceedings of the CSEE,2010(5). |
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| Authors: | LIU Ji-zhen ZHU Hong-lu CHANG Tai-hua TIAN Liang GAO Wei TONG Wen-hong |
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| Affiliation: | LIU Ji-zhen1,ZHU Hong-lu1,CHANG Tai-hua1,TIAN Liang1,GAO Wei2,TONG Wen-hong2 (1.Department of Automation,North China Electric Power University,Changping District,Beijing 102206,China,2.Huadian Fujian Kemen Power Generation Co.,Ltd.,Fuzhou 350512,Fujian Province,China) |
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| Abstract: | For the thermal process is of special features,and it can be disturbed by uncertain factors easily,a novel modelling method based on least mean square (LMS) adaptive filter was presented.Take the input and output of the unknown object as the inspire signal and the destination signal,the LMS filter can give a finity impulse response (FIR) model by steepest descent algorithm.The FIR model is equal to the differential equation and the transform function.The simulation and the test using the data from the power... |
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| Keywords: | thermal process online modelling least mean square (LMS) algorithm adaptive filtering |
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