From control to supervision

Staroswiecki, Μ.; Gehin, Anne-Lise

doi:10.1016/s1367-5788(01)00002-5

Cited by 76 publications

(17 citation statements)

References 4 publications

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“…The fault-tolerant design approach can be mainly classified into two types: passive and active (Staroswiecki and Gehin, 2001). In the passive approach, the same controller is used throughout the normal case as well as the fault case such that this passive fault-tolerant controller can be easily implemented (Gu et al, 2010;Pang and Tang, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…System reconfiguration is the strategy with which the goals are achieved by switching off the faulty part of the system and controlling only its healthy part (Staroswiecki and Gehin, 2001). For system reconfiguration, FDI algorithms should only detect and isolate the faults (Shumsky, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Early work on fault diagnosis for a class of nonlinear systems was investigated by Seliger and Frank (1991) using the unknown input observer approach (Guan and Saif, 1991), while recently some results on FDI for nonlinear systems have been obtained, e.g., by Edwards et al (2000), Yan and Edwards (2007), or Jiang et al (2006) based on nonlinear observers, Staroswiecki and Gehin (2001) based on parity space approaches, and Christophe et al (2002) exploiting the relationship between the two methods. More recently, Persis and Isidori…”

Section: Introductionmentioning

confidence: 99%

“…Fault accommodation is the strategy with which the goals are achieved by controlling the fault system (Staroswiecki and Gehin, 2001), which means that only the controller is reconfigured. If a fault is detected and isolated, the fault also needs to be estimated so that its effect can be compensated by adapting (reconfiguring) the control algorithm.…”

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confidence: 99%

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Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Jiang

Shi

2012

International Journal of Applied Mathematics and Computer Science

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Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Jiang

Shi

2012

International Journal of Applied Mathematics and Computer Science

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“…(Staroswiecki and Gehin, 2001) proposes a terminology on fault tolerant control problems. The main goal of FTC is to increase system's reliability.…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control System Design: A Reconfiguratin Strategy Based on Reliability Analysis Under Dynamic Behavior Constraints

Guenab

Theilliol

Weber

et al. 2007

Fault Detection, Supervision and Safety of Technical Processes 2006

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Abstract:The main goal of this paper is to develop a fault tolerant control system that incorporates both reliability and dynamic performance of the system for control reconfiguration. Once a fault has been detected and isolated, the reconfiguration strategy proposed in this paper tries to find possible structures of the faulty system that preserve prespecified performance, calculate the system reliability, compute new controller gains and finally search the optimal structure that has the "best" control performance with the highest reliability. The proposed approach is illustrated through a simulation example.

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Introduction

2013

Analysis and Synthesis of Fault‐Tolerant Control Systems

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From control to supervision

Cited by 76 publications

References 4 publications

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Fault Tolerant Control System Design: A Reconfiguratin Strategy Based on Reliability Analysis Under Dynamic Behavior Constraints

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