An Efficient Approach for Fault Detection and Fault Tolerant Control of Wind Turbines

Author(s):  
Ali Abdo ◽  
Jamal Siam ◽  
Ahmed Abdou ◽  
Hakam Shehadeh ◽  
Ashraf Al-Rimawi
Author(s):  
Houda Chouiref ◽  
Boumedyen Boussaid ◽  
Mohamed Naceur Abdelkrim ◽  
Vicenç Puig ◽  
Christophe Aubrun

In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant Control is integrated with a Fault Detection and Isolation approach. Fault detection is based on a Linear Parameter Varying interval predictor approach while fault isolation is based on analysing the residual fault signatures. To include fault-tolerance in the control system (already available in the considered wind turbine case study based on the well known SAFEPROCESS benchmark), the information of the Fault Detection and Isolation approach block is exploited and it is used in the implementation of a virtual actuator and sensor scheme. The proposed Active Fault Tolerant Control is evaluated using fault scenarios which are proposed in the wind turbine benchmark to assess its performance. Results show the effectiveness of the proposed Active Fault Tolerant Control approach in faulty situation.


2017 ◽  
Vol 40 (10) ◽  
pp. 2991-2998
Author(s):  
Quanchao Dong ◽  
Hongyan Yang

This paper presents a finite frequency-based active fault tolerant control approach for the compensation of unknown failures in linear time-delay plants. An integration of fault detection filter based on observer technology and [Formula: see text] controller in residual feedback form is considered in the active fault tolerant control system. Different from the traditional schemes, exact fault estimation is not necessary in the proposed active fault tolerant control. To achieve the desired system performance when a fault occurs, the residual is directly embedded in the control loop as a feedback term to compensate the influence of fault. By employing the Generalized Kalman–Yakubovich–Popov lemma, we derive the sufficient conditions of the existence of such an active fault tolerant control plant, and iterative algorithms are applied to obtain the solutions to the fault detection filter and controller parameter matrices. Finally, simulation results are proposed to demonstrate the effectiveness of the developed scheme.


Automatica ◽  
2019 ◽  
Vol 99 ◽  
pp. 308-316 ◽  
Author(s):  
Linlin Li ◽  
Hao Luo ◽  
Steven X. Ding ◽  
Ying Yang ◽  
Kaixiang Peng

2017 ◽  
Vol 11 (1) ◽  
pp. 68-86 ◽  
Author(s):  
Jun Wang ◽  
Xiaowan Yao ◽  
Wei Li

In this paper, the authors aimed to analyze uncertain nonlinear networked control systems (NCS) under discrete event-triggered communication scheme (DETCS), in which an integrated design methodology between robust fault detection observer and active fault-tolerant controller is proposed. Moreover, the problem of hybrid active–passive robust fault-tolerant control, which integrated passive fault-tolerant control, fault detection, and controller reconstruction, is researched. In consideration of the impact of uncertainties and network-induced delay on system performance, a new class of uncertain nonlinear NCS fault model is established based on T-S fuzzy model. By employing Lyapunov stability theory, H∞ control theory, and linear matrix inequality method, the fault detection observer and hybrid fault-tolerant controller are both appropriately designed. In addition, the sufficient condition that guaranteed the asymptotically robust stability of nonlinear NCS against any actuator failures is deduced. Finally, a numerical simulation is provided to show the effectiveness of the proposed methods.


Author(s):  
Liam Vile ◽  
Halim Alwi ◽  
Christopher Edwards ◽  
Nathan Yates

2005 ◽  
Vol 38 (1) ◽  
pp. 131-136
Author(s):  
H. Jamouli ◽  
D. Sauter ◽  
Jean Yves Keller ◽  
J.C. Ponsart

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