LPV modeling oriented robust predictive output regulation for a class of constrained DC-DC Zeta converter

被引：0

作者：

Han, Kezhen ^{[1
]}

Jiang, Ping ^{[1
]}

Li, Shi ^{[1
]}

机构：

[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China

来源：

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

DC-DC Zeta converter; LMI; LPV; Predictive regulation; Reduced-order estimation; OBSERVER; STATE; BUCK;

D O I：

10.1109/ccdc.2019.8833184

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 paper considers the constrained output regulation problem for a class of DC-DC Zeta converter. First. the dynamic circuit description is modeled as LPV system based on Kirchhoff's current/voltage law and small signal variation method. Second, the reduced-order observer is designed to estimate the unknown states and disturbance. Third, a minmax optimization method is introduced to achieve the predictive regulation of Zeta converter. Finally, the integrated off-line and on-line synthesis procedures are summarized in an algorithm. The effectiveness of proposed results is verified through a simulation example.

引用

页码：1142 / 1147

页数：6

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