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
收藏
页码：167 / 178
页数：12
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