Robust Fuzzy Fault-Tolerant Control of Wind Energy Conversion Systems Subject to Sensor Faults

被引：127

作者：

Kamal, Elkhatib ^{[1
]}

Aitouche, Abdelouahab ^{[2
]}

Ghorbani, Reza ^{[3
]}

Bayart, Mireille ^{[1
]}

机构：

[1] Lille Univ Nord France, LAGIS, Polytech Lille, Villeneuve Dascq, France

[2] Lille Univ Nord France, HEI, LAGIS Lab, Lille, France

[3] Univ Hawaii Manoa, Honolulu, HI 96822 USA

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2012年 / 3卷 / 02期

关键词：

Fault detection and isolation (FDI); fault-tolerant control; fuzzy controller; fuzzy observer; linear matrix inequalities (LMIs); parameters uncertainties; robust control; sensor faults; Takagi-Sugeno (TS) fuzzy model; wind turbine control; IDENTIFICATION; STABILIZATION; FUSION;

D O I：

10.1109/TSTE.2011.2178105

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, we propose a multiobserver switching control strategy for robust active fault tolerant fuzzy control (RAFTFC) of variable-speed wind energy conversion systems (WECS) in the presence of wide wind variation, wind disturbance, parametric uncertainties, and sensors faults. The Takagi-Sugeno (TS) fuzzy model with parametric uncertainties is adopted for modeling the nonlinear WECS and establishing fuzzy state observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability and are formulated in linear matrix inequalities (LMIs). Application to WECS, subject to uncertain parameters and sensor faults illustrate the effectiveness of the proposed controllers.

引用

页码：231 / 241

页数：11

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