Design of unknown-input proportional-multi-integral observer in Takagi-Sugeno Fuzzy Form

被引：0

作者：

Schulte, Horst ^{[1
]}

Poeschke, Florian ^{[1
]}

机构：

[1] HTW Berlin, Fachbereich Ingenieurwissensch Energie & Informat, Fachgebiet Regelungstech, Wilhelminenhof Str 75a, D-12459 Berlin, Germany

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2017年 / 65卷 / 03期

关键词：

Takagi-Sugeno fuzzy systems; proportional-multi-integral observer; linear matrix inequality (LMI); wind turbines; SYSTEMS;

D O I：

10.1515/auto-2016-0091

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, the proportional-multi-integral observer approach is presented. For nonlinear systems, a proportional-multi-integral observer in Takagi-Sugeno Fuzzy Form is used. Two different methods are proposed for the observer design: a Lyapunov-based and modified linear LQR approach, where the stability is ensured by a negative derivative of the Lyapunov function candidate. The applicability of the PMI observers are shown by fault reconstruction for a large-scale 5MW wind turbine simulated with the aero-elastic code FAST by NREL.

引用

页码：167 / 178

页数：12

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