Robust Multivariable Adaptive Control of Time-varying Systems

被引：0

作者：

Osorio-Arteaga, Felipe ^{[1
]}

Marulanda-Durango, Jesser James ^{[1
]}

Giraldo, Eduardo ^{[1
]}

机构：

[1] Department of Electrical Engineering, Universidad Tecnológica de Pereira, Pereira, Colombia

来源：

IAENG International Journal of Computer Science | 2020年 / 47卷 / 04期

关键词：

Linear regression - Time delay - Model reference adaptive control - Linear control systems - Multivariable systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this article a robust multivariable adaptive control technique is proposed for time varying AutoRegressive Moving Average systems with exogenous inputs considering identification and auto-tuning of the proposed model reference controller. The proposed method is validated for linear multivariable systems with time-varying parameters under noise conditions. The results are evaluated in terms of tracking error, and robustness to time-varying parameters. The proposed method is compared with an adaptive approach named the multivariable model reference adaptive control based on an AutoRegressive Moving Average model where the proposed robust multivariable approach improved the performance of the adaptive method. In addition, the proposed estimation methods for ARMA and ARMAX structures are evaluated over an electric arc model and a real system implemented with an analog computer. © 2020. All Rights Reserved.

引用

页码：1 / 8

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