基于最小二乘参数辨识的非线性机理模型研究  

A Study on the Non-Linear Mechanism Model Based on Parameters Identification by Least Square Method

作　　者：王景杨[1] 苑明哲[1] 曹景兴[1] 潘杰[1] 

机构地区：[1]中国科学院沈阳自动化研究所工业信息学重点实验室,辽宁沈阳110016

出　　处：《沈阳理工大学学报》2008年第3期48-51,共4页Journal of Shenyang Ligong University

摘　　要：以江铜尾气处理系统为实际研究对象,为得到现场控制系统的最优控制律,针对控制率的直接作用对象—二氧化硫风机和阀门建模,采用建立混合机理模型与利用非线性最小二乘方法辨识模型参数相结合的方法,从现场采集的实际数据出发,分别建立了风机和阀门各自的非线性数学模型,再根据二者对控制规律的交互影响将他们结合成混合模型,最后通过最小二乘法辨识方法辨识出模型中的未知参数.仿真结果表明,该建模方法误差较小,精度高,具有实际意义.In order to receive the best controlling effect, based on the controlled objects-blower and valve, a mixed mechanism model is set up, and the unknown parameters are identified. Summing them up, a method is used to identify the parameters in modeling of the blo- wer to solve its non-linear problem using the least square method. The results show that this method is effective and has higher accuracy.

关 键 词：非线性 最小二乘法 风机 阀门 建模 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]