Dynamic Relative Gain Array Estimation using Local Polynomial Approximation Approach

被引：5

作者：

Kadhim, Ali M. H. ^{[1
,2
]}

Birk, Wolfgang ^{[1
]}

Arranz, Miguel Castano ^{[1
]}

机构：

[1] Lulea Univ Technol, Signals & Syst Div, Control Engn Grp, Lulea, Sweden

[2] Univ Kufa, Fac Engn, Dept Elect Engn, Najaf, Iraq

来源：

MODELING IDENTIFICATION AND CONTROL | 2016年 / 37卷 / 04期

基金：

欧盟地平线“2020”;

关键词：

Dynamic Relative Gain Array; nonparametric identification; local polynomial approximation approach; weakly nonlinear systems; STEADY-STATE;

D O I：

10.4173/mic.2016.4.5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article presents a procedure that utilizes the local polynomial approximation approach in the estimation of the Dynamic Relative Gain Array (DRGA) matrix and its uncertainty bounds for weakly nonlinear systems. This procedure offers enhanced frequency resolution and noise reduction when random excitation is used. It also allows separation of nonlinear distortions with shorter measuring time when multisine excitation is imposed. The procedure is illustrated using the well-known quadruple tank process as a case study in simulation and in real life. Besides, a comparison with the pairing results of the static RGA, nonlinear RGA and DRGA based on linearized quadruple tank model for different simulation cases is performed.

引用

页码：247 / 259

页数：13

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