Robust Estimation for Automatic Controller Tuning with Application to Active Noise Control

被引：9

作者：

Kinney, Charles E. ^{[1
]}

de Callafon, Raymond A. ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Mech & Aerosp Engn, La Jolla, CA 92093 USA

来源：

MODEL-BASED CONTROL: BRIDGING RIGOROUS THEORY AND ADVANCED TECHNOLOGY | 2009年

关键词：

INTERNAL-MODEL PRINCIPLE; LINEAR REGULATOR; DISTURBANCES; REJECTION;

D O I：

10.1007/978-1-4419-0895-7_7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we show how the double-Youla parameterization can be used to recast the robust tuning of a Feedback controller as a robust estimation problem. The formulation as an estimation problem allows tuning of the controller in realtime on the basis of closed loop data. Furthermore, robust estimation is obtained by constraining the parameter estimates so that feedback stability will be maintained during controller tuning In the presence of plant uncertainty. The combination of real-time tuning and guaranteed stability robustness opens the possibility to perform Robust Estimation for Automatic Controller Tuning (REACT) to slowly varying disturbance spectra. The procedure is illustrated via the application of narrow-band disturbance rejection in the active noise control of cooling fans.

引用

页码：107 / 124

页数：18

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