Robust Gain-Scheduling Control with Guaranteed Performance

被引：2

作者：

Al-Jiboory, Ali K. ^{[1
]}

Zhu, Guoming G. ^{[1
]}

机构：

[1] Michigan State Univ, Dept Mech Engn, E Lansing, MI 48824 USA

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 18期

关键词：

Gain-Scheduling Control; LPV Systems; Uncertainty; Measurement noise; Robust Control; LPV SYSTEMS; PARAMETERS; DESIGN; LMIS;

D O I：

10.1016/j.ifacol.2016.10.219

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Robust Gain-Scheduling (RGS) control synthesis conditions are developed in this paper. Differently from most existing literature in gain-scheduling control, the derived conditions assume scheduling parameters are inexactly measured. This is a realistic assumption for practical control applications. Sufficient conditions in terms of Parametrized Bilinear Matrix Inequalities (PBMIs) for synthesizing dynamic output-feedback controllers with guaranteed H infinity performance are given. The resulting controller not only guarantees robust stability and H infinity performance but also ensures robustness against scheduling parameter uncertainties. An numerical example is presented to demonstrate the effectiveness of the developed approach and compare with existing approaches from literature. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：528 / 533

页数：6

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