Robust fault-tolerant self-recovering control of nonlinear uncertain systems

Qu, Zhihua; Ihlefeld, Curtis M.; Jin, Yue; Saengdeejing, Apiwat

doi:10.1016/s0005-1098(03)00181-x

Cited by 68 publications

(47 citation statements)

References 15 publications

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“…Unfortunately, the crucial problem with practical implementation of (13) is that it requires y f,k+1 and u f,k to calculate f k and hence it cannot be directly used to obtain (9). To settle this problem, it is assumed that there exists a diagonal matrix α k such that f k ∼ =f k = α k f k−1 and hence the practical form of (9) boils down to…”

Section: Fault Identificationmentioning

confidence: 99%

“…In passive FTC [6][7][8][9], controllers are designed to be robust against a set of presumed faults, therefore there is no need for fault detection, but such a design usually degrades the overall performance. In the contrast to passive ones, active FTC schemes, react to system components faults actively by reconfiguring control actions, and by doing so the system stability and acceptable performance is maintained.…”

Section: Introductionmentioning

confidence: 99%

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Active fault-tolerant control design for Takagi-Sugeno fuzzy systems

Dziekan¹,

Witczak²,

Korbicz³

2011

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. In this paper, a virtual actuator-based active fault-tolerant control strategy is presented. After a short introduction to Takagi-Sugeno fuzzy systems, it is shown how to design a fault-tolerant control strategy for this particular class of non-linear systems. The key contribution of the proposed approach is an integrated fault-tolerant control design procedure of fault identification and control within an integrated fault-tolerant control scheme. In particular, fault identification is implemented with the suitable state observer. While, the controller is implemented in such a way that the state of the (possibly faulty) system tracks the state of a fault-free reference model. Consequently, the fault-tolerant control stabilizes the possibly faulty system taking into account the input constraints and some control objective function. Finally, the last part of the paper shows a comprehensive case study regarding the application of the proposed strategy to fault-tolerant control of a twin-rotor system.

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Section: Fault Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Active fault-tolerant control design for Takagi-Sugeno fuzzy systems

Dziekan¹,

Witczak²,

Korbicz³

2011

Bulletin of the Polish Academy of Sciences: Technical Sciences

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“…Thus, within certain margins, the control law has inherent fault tolerant capabilities, allowing the system to cope with the fault presence. Chen et al (1998), Liang et al (2000) and Qu et al (2003), among many others, provide complete descriptions of passive FTC techniques. On the other hand, active FTC techniques consist in adapting the control law using the information given by the FDI (Fault Detection and Isolation) block (Blanke et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant control strategy for actuator faults using LPV techniques: Application to a two degree of freedom helicopter

de¹,

Puig²,

Witczak³

et al. 2012

International Journal of Applied Mathematics and Computer Science

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In this paper, a Fault Tolerant Control (FTC) strategy for Linear Parameter Varying (LPV) systems that can be used in the case of actuator faults is proposed. The idea of this FTC method is to adapt the faulty plant instead of adapting the controller to the faulty plant. This approach can be seen as a kind of virtual actuator. An integrated FTC design procedure for the fault identification and fault-tolerant control schemes using LPV techniques is provided as well. Fault identification is based on the use of an Unknown Input Observer (UIO). The FTC controller is implemented as a state feedback controller and designed using polytopic LPV techniques and Linear Matrix Inequality (LMI) regions in such a way as to guarantee the closed-loop behavior in terms of several LMI constraints. To assess the performance of the proposed approach, a two degree of freedom helicopter is used.

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“…In this technique the control laws are fixed and the fault is considered as a system disturbance or uncertainty. In fact, the control law is designed to preserve the system performance either in healthy or in faulty situation using robust control techniques, see Chen and Patton [1999], Qu et al [2001], and Qu et al [2003]. Most complex industrial systems either exhibit nonlinear behaviour or involve both discrete and continuous components.…”

Section: Introductionmentioning

confidence: 99%