Parameter Identification Research Based on ARX Model

被引：1

作者：

Liu Huaiyuan ^{[1
]}

He Jianhua ^{[1
]}

Chen Song ^{[1
]}

机构：

[1] NW Polytech Univ, Sch Elect & Informat, Xian 710129, Peoples R China

来源：

DIGITAL MANUFACTURING & AUTOMATION III, PTS 1 AND 2 | 2012年 / 190-191卷

关键词：

Simulink; ARX model; system identification; least square estimation;

D O I：

10.4028/www.scientific.net/AMM.190-191.292

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the principle of the system identification, combined Simulink with System Identification Toolbox from MATLAB, the least square estimation method is selected to establish a system of ARX model, and Akaike Information Criterion (AIC) was used in the identification of model order, compared with the original model to study the fitting accuracy, and the validity of the model is examined by residual analysis. This approach overcomes the disadvantages of the complexity and difficulty in traditional programming model. Compared to other program identification method, it has a short modeling time, and it is clear, reliable, intuitive visual, good scalability. Furthermore, the model parameters, result and system can be easily modified, assessed and verified. This method of system modeling and simulation can be used for reference to aerospace and other fields.

引用

页码：292 / 296

页数：5