Model-Based Faults Diagnostics of Single Shaft Gas Turbine Using Fuzzy Faults Tolerant Control

被引：0

作者：

Khaldi, Belgacem Said ^{[1
,2
]}

Iratni, Abdelhamid ^{[1
,3
]}

Hafaifa, Ahmed ^{[1
,3
]}

Colak, Ilhami ^{[4
]}

机构：

[1] Univ Djelfa, Fac Sci & Technol, Appl Automat & Ind Diag Lab, Djelfa 17000, DZ, Algeria

[2] Univ Djelfa, Fac Sci & Technol, Joint Res Team Gas Turbines, Djelfa 17000, DZ, Algeria

[3] Univ Mohamed Bachir Ibrahimi Bordj Bou Arreridj, Fac Sci & Technol, Dept Elect Engn, Anasser DZ34030, Bordj Bou Arrer, Algeria

[4] Istanbul Nisantasi Univ, Fac Engn & Architecture, Dept Elect & Elect Engn, TR-34398 IIstanbul, Turkiye

来源：

AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2024年 / 58卷 / 02期

关键词：

fault-tolerant control; gas turbine; diagnostic; fuzzy inference system; Luenberger observer; fault detection and isolation; DESIGN; SYSTEM; OBSERVERS;

D O I：

10.3103/S0146411624700020

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 proposes a new fault-tolerant control approach for gas turbines, based on fuzzy techniques that allow real-time observation of their behavior. The approach consists of detecting and locating faults, and then determining the appropriate control action to keep the turbine in stable operation. This improves the efficiency and lifespan of the turbine, and reduces maintenance costs with optimal planning. The state space model of the turbine is subjected to a diagnostic procedure based on Type-1 and Type-2 fuzzy models, using the operational data of the different operating points studied. The Luenberger observer is used in the fault detection mechanism, to characterize turbine component malfunctions by comparing the observed real behaviors and the fuzzy models. The results show that the fault-tolerant fuzzy control has ensured the stability and availability of the turbine during fault occurrence, with good performance in detection, isolation and reconfiguration.

引用

页码：117 / 130

页数：14

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