Fault Diagnosis and Fault Tolerant Control for a Class of Re-Entrant Manufacturing Systems

In practical manufacturing scenarios, re-entrant manufacturing systems (RMSs) are vulnerable to uncertain workstation faults, which may cause sudden changes in the work-in-process (WIP) level and impair the overall production capacity. To ensure agile response to market demands and to maintain stable system behavior under fault scenarios, an active fault-tolerant control scheme via fault diagnosis for RMSs is developed in this paper. Firstly, a hybrid hyperbolic partial differential equation continuum model is developed to describe the evolution of WIP dynamics, where the workstation faults result in the discarding of defective products during processing. Subsequently, a fault diagnosis scheme is presented to detect and estimate the uncertain faults in real time, by integrating an observer-based fault detection method and an adaptive fault estimation algorithm. Utilizing the estimated fault information, a fault-tolerant control strategy is then proposed to compensate for fault-induced state jumps and achieve agile production control. Finally, a numerical simulation is conducted to demonstrate the effectiveness of the proposed fault-tolerant control approach. It is believed the proposed theory enriches the theory, analysis, design of control circuit systems and has potential of practical implementations to industrial manufacturing systems.

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Institutions

Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-08-28
DOI
https://doi.org/10.1109/tcsi.2025.3602398
Citations
4
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
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article

Fault Diagnosis and Fault Tolerant Control for a Class of Re-Entrant Manufacturing Systems

Qing Gao, Steven X. Ding, Jianbin Qiu
4 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Fault Detection and Control Systems
4.86
article

Fault Diagnosis and Fault Tolerant Control for a Class of Re-Entrant Manufacturing Systems

Qing Gao, Steven X. Ding, Jianbin Qiu
article en
4 citations

Abstract

In practical manufacturing scenarios, re-entrant manufacturing systems (RMSs) are vulnerable to uncertain workstation faults, which may cause sudden changes in the work-in-process (WIP) level and impair the overall production capacity. To ensure agile response to market demands and to maintain stable system behavior under fault scenarios, an active fault-tolerant control scheme via fault diagnosis for RMSs is developed in this paper. Firstly, a hybrid hyperbolic partial differential equation continuum model is developed to describe the evolution of WIP dynamics, where the workstation faults result in the discarding of defective products during processing. Subsequently, a fault diagnosis scheme is presented to detect and estimate the uncertain faults in real time, by integrating an observer-based fault detection method and an adaptive fault estimation algorithm. Utilizing the estimated fault information, a fault-tolerant control strategy is then proposed to compensate for fault-induced state jumps and achieve agile production control. Finally, a numerical simulation is conducted to demonstrate the effectiveness of the proposed fault-tolerant control approach. It is believed the proposed theory enriches the theory, analysis, design of control circuit systems and has potential of practical implementations to industrial manufacturing systems.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 73(2)
Harbin Institute of Technology (CN), University of Duisburg-Essen (DE), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Fault Detection and Control Systems
4.86
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