An LMI approach for designing sliding mode observers for fault detection and isolation

2001 ◽  
Author(s):  
C. P. Tan ◽  
C. Edwards
Keyword(s):  
Fault Detection ◽  
Sliding Mode ◽  
Fault Detection And Isolation ◽  
Lmi Approach ◽  
Sliding Mode Observers

scholarly journals Sliding Mode Observer-Based Fault Detection and Isolation Approach for a Wind Turbine Benchmark

Processes ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 54
Author(s):  
Vicente Borja-Jaimes ◽  
Manuel Adam-Medina ◽  
Betty Yolanda López-Zapata ◽  
Luis Gerardo Vela Valdés ◽  
Luisana Claudio Pachecano ◽  
...  
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
Sliding Mode ◽  
A Priori ◽  
Sliding Mode Observer ◽  
Fault Detection And Isolation ◽  
External Disturbances ◽  
Solution Approach ◽  
Sliding Mode Observers ◽  
Train System

A fault detection and isolation (FDI) approach based on nonlinear sliding mode observers for a wind turbine model is presented. Problems surrounding pitch and drive train system FDI are addressed. This topic has generated great interest because the early detection of faults in these components allows avoiding irreparable damage in wind turbines. A fault diagnosis strategy using nonlinear sliding mode observer banks is proposed due to its ability to handle model uncertainties and external disturbances. Unlike the reported solutions, the solution approach does not need a priori knowledge of the faults and considers system uncertainty. The robustness to disturbances, uncertainties, and measurement noise is shown in the dynamic of the generated residuals, which is sensible to only one kind of fault. To show the effectiveness of the proposed FDI approach, numerical examples based on a wind turbine benchmark model, considering closed loop applications, are presented.

Sliding Mode Observers-based Fault Detection and Isolation for Wind Turbine-driven Induction Generator

2017 ◽  
Vol 8 (3) ◽  
pp. 1345 ◽  
Author(s):  
T. Sellami ◽  
H. Berriri ◽  
S. Jelassi ◽  
A. M. Darcherif ◽  
M. F. Mimouni
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
Sliding Mode ◽  
Short Circuit ◽  
Induction Machine ◽  
Fault Detection And Isolation ◽  
Theoretical Development ◽  
Induction Generator ◽  
Variable Speed ◽  
Sliding Mode Observers

Inter-turn short-circuit (ITSC) faults on the induction machine has received much attention in the recent years. Early detection of such faults in wind turbine systems would allow to avoid fluctuation on wind power output and maintain the reliability level. In this paper, Sliding Mode Observers (SMO)-based fault detection and isolation method is developed for induction generator (IG)-based variable-speed grid-connected wind turbines. Firstly, the dynamic model of the wind turbine and IG was given and then, the control was made based on Maximum Power Point Tracking (MPPT) method. The IG closed-loop via Indirect Rotor Flux Oriented Control (IRFOC) scheme was also described. Hence, the performance of the wind turbine system and the stability of injected power to the grid were analyzed under the ITSC fault conditions. The control schemes were proved to be inherently unstable under the faulty conditions. Then, robust SMO were investigated to design an ITSC fault detection and isolation scheme. Finally, simulation results of ITSC detection and isolation in the variable-speed grid-connected wind turbine with affected IG confirm the theoretical development.

Sliding mode observers for fault detection and isolation

Automatica ◽  
2000 ◽  
Vol 36 (4) ◽  
pp. 541-553 ◽  
Author(s):  
Christopher Edwards ◽  
Sarah K. Spurgeon ◽  
Ron J. Patton
Keyword(s):  
Fault Detection ◽  
Sliding Mode ◽  
Fault Detection And Isolation ◽  
Sliding Mode Observers

Verification & Validation of a Satellite Fault Detection and Isolation Scheme Based on Sliding-Mode Observers

2012 ◽  
Vol 45 (20) ◽  
pp. 277-282
Author(s):  
Andrés Marcos ◽  
Halim Alwi ◽  
Chris Edwards ◽  
Alex Falcoz ◽  
Eric Bornschlegl
Keyword(s):  
Fault Detection ◽  
Sliding Mode ◽  
Fault Detection And Isolation ◽  
Sliding Mode Observers
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