CONSTRAINTS TO GUARANTEE GAIN AND PHASE MARGINS FOR DATA-DRIVEN CONTROLLER TUNING METHODS

被引：0
|
作者：
Sakatoku, Taiga [1 ]
Yubai, Kazuhiro [1 ]
Yashiro, Daisuke [1 ]
Komada, Satoshi [1 ]
机构：
[1] Mie Univ, Dept Elect & Elect Engn, Tsu, Mie, Japan
来源：
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN | 2020年 / 28卷 / 05期
关键词：
data-driven controller tuning; NCbT; stability constraint; gain and phase margins; DESIGN;
D O I：
10.6119/JMST.202010_28(5).0008
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The Noniterative Correlation-based Tuning (NCbT) is one of the data-driven controller tuning methods which directly tune controller parameters from input/output data set of a plant. The NCbT is based on the correlation approach to robustly tune controller parameters using a noisy input/output data set. Since the NCbT guarantees closed-loop stability only for the situation where the data is acquired, a plant fluctuation is not taken into consideration, which may lead to degradation of control performance and/or destabilization of the closed-loop system. In this paper, we virtually produce input/output data sets of the plant with various gain and/or phase fluctuation to derive data-driven constraints for the prespecified gain and phase margins.
引用
收藏
页码：385 / 393
页数：9
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