Data-Driven LQR Control Design

被引：53
|
作者：
Goncalves da Silva, Gustavo R. [1 ]
Bazanella, Alexandre S. [1 ]
Lorenzini, Charles [1 ]
Campestrini, Luciola [1 ]
机构：
[1] Univ Fed Rio Grande do Sul, Dept Automat & Energy, BR-90035190 Porto Alegre, RS, Brazil
来源：
IEEE CONTROL SYSTEMS LETTERS | 2019年 / 3卷 / 01期
关键词：
Data-driven control; LQR control; Markov parameters; observability matrix;
D O I：
10.1109/LCSYS.2018.2868183
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 letter presents a data-driven solution to the discrete-time infinite horizon linear quadratic regulator (LQR) problem. The state feedback gain is computed directly from a batch of input and state data collected from the plant. Simulation examples illustrate the convergence of the proposed solution to the optimal LQR gain as the number of Markov parameters tends to infinity. Experiments in an uninterruptible power supply are presented, which demonstrate the practical applicability of the design methodology.
引用
收藏
页码：180 / 185
页数：6
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