2022
DOI: 10.3390/pr10071266
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A Fault-Tolerant and a Reconfigurable Control Framework: Application to a Real Manufacturing System

Abstract: In this paper, we propose a framework to implement a fault-tolerant and a reconfigurable distributed control approach in programmable logic controller (PLC) for manufacturing systems (MS). The reconfiguration methodology adopted in this paper is based on supervisory control theory (SCT), and it is triggered following sensor fault detection. The lost information about these sensors is replaced by timed information allowing the MS to continue its operations. The switch from a normal behavior to a degraded behavi… Show more

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Cited by 5 publications
(3 citation statements)
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References 17 publications
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“…Real MS Simulation on a « Degital Twin » In this paper, we are interested only in the descending branch of the V cycle (blue part), which presents the control synthesis and reconfiguration strategy. The verification steps are developed in [6].…”
Section: Control Synthesis and Reconfiguration Strategymentioning
confidence: 99%
“…Real MS Simulation on a « Degital Twin » In this paper, we are interested only in the descending branch of the V cycle (blue part), which presents the control synthesis and reconfiguration strategy. The verification steps are developed in [6].…”
Section: Control Synthesis and Reconfiguration Strategymentioning
confidence: 99%
“…Their approach models variables of environments structurally by elements of the Petri nets, rather than by employing SIPN or CIPN. More recently, GRAFCET has been utilized in model checking distributed reconfiguration scenarios in [29]. In their approach, the GRAFCET instances are first transformed into a programming language in order to be verified, such that model checking is not employed on specification level.…”
Section: Related Workmentioning
confidence: 99%
“…Given the diverse nature of process flows and application conditions, it is imperative to engage in engineering debugging and address practical issues discovered in such applications. This need is particularly pressing when it comes to the advancement of intelligent automatic control systems and software algorithms for fields such as metal mining, beneficiation, and metallurgy [28][29][30][31]. These systems and algorithms find broad application in numerous projects related to process control system engineering.…”
Section: Introductionmentioning
confidence: 99%