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

共 50 条

[21] Electronic Throttle Valve Takagi-Sugeno Fuzzy Control Based on Nonlinear Unknown Input Observers [J].

Gritli, W. ;

Gharsallaoui, H. ;

Benrejeb, M. ;

Borne, P. .

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2018, 13 (05) :808-823

[22] Analytical Structures of Takagi-Sugeno Fuzzy Two-Input Two-Output Proportional-Integral/Proportional-Derivative Controllers With Multiple Fuzzy Sets [J].

Raj, Ritu ;

Mohan, B. M. .

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2019, 141 (05)

[23] Robust actuator fault reconstruction for Takagi-Sugeno fuzzy systems with unknown input via a synthesized learning and sliding-mode observer [J].

Jia, Qingxian ;

Li, Huayi ;

Li, Min .

ASIAN JOURNAL OF CONTROL, 2023, 25 (04) :2720-2735

[24] Observer design for Takagi-Sugeno descriptor models: An LMI approach [J].

Guerra, Thierry Marie ;

Estrada-Manzo, Victor ;

Lendek, Zsofia .

AUTOMATICA, 2015, 52 :154-159

[25] An LMI approach for observer design for Takagi-Sugeno descriptor models [J].

Estrada-Manzo, Victor ;

Guerra, Thierry Marie ;

Lendek, Zsofia .

2014 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS, 2014,

[26] Robust Zonotopic Observer Design: Avoiding Unmeasured Premise Variables for Takagi-Sugeno Fuzzy Systems [J].

Pourasghar, Masoud ;

Nguyen, Anh-Tu ;

Guerra, Thierry-Marie .

IFAC PAPERSONLINE, 2021, 54 (04) :68-73

[27] Fault detection observer design for Takagi-Sugeno fuzzy systems with finite-frequency specifications [J].

Li, Jitao ;

Fang, Xu ;

Zhang, Zhihao ;

Wang, Yujia ;

Liu, Xing ;

Zhang, Mingjun .

ISA TRANSACTIONS, 2024, 155 :274-285

[28] The compact fuzzy filter design via Takagi-Sugeno fuzzy models [J].

Yu, Fang-Ming .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :4412-4416

[29] State and Faults Estimation Based on Proportional Integral Sliding Mode Observer for Uncertain Takagi-Sugeno Fuzzy Systems and its Application to a Turbo-Reactor [J].

Elleuch, Ilyes ;

Khedher, Atef ;

Ben Othman, Kamel .

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (06) :1768-1781

[30] Dissipative Filter Design for Takagi-Sugeno Fuzzy Neural Networks [J].

Lee, Kyu-Chul ;

Choi, Hyun-Duk ;

Kim, Dae-Ki ;

Ahn, Choon-Ki ;

Lim, Myo-Taeg .

2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2015, :181-185

← 1 2 3 4 5 →