Integrated Fault-Detection and Fault-Tolerant Control of Process Systems

Mhaskar, Prashant; Gani, Adiwinata; El‐Farra, Nael H.; Christofides, Panagiotis D.; Davis, James F.

doi:10.3182/20050703-6-cz-1902.01593

Cited by 9 publications

(9 citation statements)

References 40 publications

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“…where˚denotes Minkowski sum of sets || , and N was defined in Assumption 2.2. Because Q X is invariant, once the estimation error has converged to it, then the residual signal will remain in (13) if there is no further change in the actuator fault situation.…”

Section: Residual Generationmentioning

confidence: 99%

“…and the former set used in the definition of the residual set R in (13). Then, conditions (16) (or (20)) for fault detectability hold from k 0 a > k c onwards using the updated definition of R. Also, using the new set (53), a new bound N ı satisfying (18) can be computed and used for fault isolation by checking whether (22) is satisfied.…”

Section: Remark 53 (Subsequent Changes In the Fault Situation)mentioning

confidence: 99%

“…[6][7][8][9]). Although traditionally treated as separate modules in the literature, a few papers have considered the integrated analysis of FDI and controller reconfiguration tasks to achieve overall stability or performance [10][11][12][13][14][15][16][17][18][19]. Another trend amongst active approaches is the use of fault estimators and subsequent controller compensation through additional signals constructed with the fault estimates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust actuator fault compensation accounting for uncertainty in the fault estimation

Serón

Doná

2013

Adaptive Control & Signal

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We propose a fault tolerant control scheme that compensates for actuator faults by adjusting the controller gain based on an estimate of the fault magnitude. The scheme consists of a plant in closed loop with an observer-based feedback tracking controller, which is adapted to the fault situation diagnosed by a fault detection and isolation algorithm. We give conditions for correct fault detection and isolation and for robust closed-loop stability accounting for possible errors in the fault estimation.

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Section: Residual Generationmentioning

confidence: 99%

Section: Remark 53 (Subsequent Changes In the Fault Situation)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust actuator fault compensation accounting for uncertainty in the fault estimation

Serón

Doná

2013

Adaptive Control & Signal

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“…Zumoffen and Basualdo proposed an online reconfiguration methodology for both updating the control policy and using the emergency control loops [7]. Mhaskar et al approached the problem of fault-tolerant control of nonlinear processes with input constraints subject to control actuator failures [8] and with sensor faults originating from complete failure and intermittent unavailability of measurements [9]. El-Farra et al has studied the fault-tolerant control of distributed interconnected processing units [10].…”

Section: A Fault-tolerant Operation Framework With Agent-based Systemsmentioning

confidence: 99%

An adaptive fault‐tolerant control framework with agent‐based systems

Perk

Shao

Teymour

et al. 2011

Intl J Robust & Nonlinear

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SUMMARYAn adaptive hierarchical framework for process supervision and fault-tolerant control with agent-based systems is presented. The framework consists of modules for fault detection and diagnosis (FDD), system identification and distributed control, and a hierarchical structure for performance-based agent adaptation. Multivariate continuous process monitoring methodologies and several fault discrimination and classification techniques are implemented in the FDD modules to be used by multiple agents. In the process supervision layer, the continuous intramodular communication between FDD and control modules communicates the existence of an abnormality in the process, type of the abnormality, and affected process sections to the distributed model predictive control agents. In the agent management layer, the performances of all FDD and control agents are evaluated under specific process conditions. Performance-based consensus criteria are used to prioritize the best-performing agents in consensus decision making in every level of process supervision and fault-tolerant control. The collective performance of the supervision system is improved via performance-based consensus decision making and adaptation. The effectiveness of the proposed adaptive agent-based framework for fault-tolerant control is illustrated using a simulated continuous stirred-tank reactor network.

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“…Abnormal situations cost U.S. industries over $20 billion each year [3]. Fault-tolerant control (FTC) is a field that has received a significant amount of attention recently in the context of chemical process control and operations as a means for avoiding disaster in the case of a fault; see, for example, [4,5]. FTC attempts to reconfigure a process control system upon detection of a fault and isolation of its cause, in order to preserve closed-loop system stability and performance.…”

Section: Introductionmentioning

confidence: 99%

Data-based monitoring and reconfiguration of a distributed model predictive control system

Chilin

Liu

Davis

et al. 2011

Proceedings of the 2011 American Control Conference

Self Cite

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SUMMARYIn this work, we develop a data-based monitoring and reconfiguration system for a distributed model predictive control system in the presence of control actuator faults. Specifically, we first design fault detection filters and filter residuals, which are computed via exponentially weighted moving average, to effectively detect faults. Then, we propose a fault isolation approach that uses adaptive fault isolation time windows whose length depends on the rate of change of the fault residuals to quickly and accurately isolate actuator faults. Simultaneously, we estimate the magnitudes of the faults using a least-squares method and based on the estimated fault values, we design appropriate control system reconfiguration (fault-tolerant control) strategies to handle the actuator faults and maintain the closed-loop system state within a desired operating region. A nonlinear chemical process example is used to demonstrate the approach.

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Integrated Fault-Detection and Fault-Tolerant Control of Process Systems

Cited by 9 publications

References 40 publications

Robust actuator fault compensation accounting for uncertainty in the fault estimation

Robust actuator fault compensation accounting for uncertainty in the fault estimation

An adaptive fault‐tolerant control framework with agent‐based systems

Data-based monitoring and reconfiguration of a distributed model predictive control system

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