A deployment methodology of real-time industrial control applications in distributed controllers

Khalgui, Mohamed

doi:10.1016/j.compind.2007.12.008

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…Nowadays in industry, the development of future generations of manufacturing systems is not a trivial activity since several new constraints and rules should be satisfied in addition to their productions that should not be stopped but kept optimal as much as possible according to user requirements (Khalgui, 2008;Li, Liu, Hanisch, & Zhou, 2012). A production line of a system is classically composed of a set of machines allowing productions of jobs.…”

Section: Introductionmentioning

confidence: 99%

An Automated Approach for Adaptive Control Systems

Khalgui

Mosbahi

Carpanzano³

et al. 2012

International Journal of Intelligent Mechatronics and Robotics

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The paper deals with adaptive manufacturing systems to be composed of various machines for optimal productions of jobs. The authors assume three types of constraints to be respected: (1) deals with the system’s performance which is related to productivity rates and should be kept acceptable as much as possible, (2) deals with the energy consumption which should be kept stable or minimal, and (3) deals with emissions of CO2 which should be kept minimal for future systems. They define a reconfiguration scenario as any operation allowing addition and/or removals of jobs and/or machines to/from production lines for safety when faults occur. To meet all fixed constraints, the authors propose an agent-based architecture where an intelligent software agent is defined to evaluate the whole system’s architecture after any reconfiguration scenario, and to define useful technical solutions when constraints are violated. It suggests run-time modifications of productivity rates and/or realization times of jobs and/or also removals of some jobs according to well-defined constraints. The users supervising the production lines can dynamically accept or reject these solutions according to production business strategies and also some other constraints. The authors apply the paper’s contribution to a formal drilling manufacturing platform, and to the footwear factory of ITIA-CNR.

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Section: Introductionmentioning

confidence: 99%

An Automated Approach for Adaptive Control Systems

Khalgui

Mosbahi

Carpanzano³

et al. 2012

International Journal of Intelligent Mechatronics and Robotics

Self Cite

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A fault diagnosis system-PLC design for system reliability improvement

Bao

Yan

2014

Int J Adv Manuf Technol

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On Reconfiguration Theory of Discrete-Event Systems: From Initial Specification Until Final Deployment

Khalgui

Mosbahi

2019

IEEE Access

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This paper presents an overview on different research activities that we did in the recent decade for developing reconfigurable discrete-event systems (RDESs) from initial high-level specification according to user requirements until final low-level deployment in target hardware components. A reconfiguration is any run-time scenario that adapts the system's behavior to any evolution in the related environment by adding or removing services or also configuring their parameters, i.e., their frequency, execution time, or also their location in the considered hardware architecture. Since the development of distributed RDESs under functional and extra-functional constraints is required by experts, we propose a complete methodology that deals first with their initial design with a new general profile named R-UML extending unified modeling language (UML) or also with new specific technology-oriented profiles, the validation of the related models with a new language R-OCL extending object constraint language (OCL), before their transformation to formal formalisms, such as Petri nets, timed automata, or B method for simulation or also formal verification of different properties. The checked models are transformed into OS reconfigurable tasks in the operational level, before applying a co-design methodology under functional, real-time, memory, and energy constraints for minimizing redundancies in tasks and for optimizing the composition of software and hardware parts together. We describe technology-oriented solutions for the scheduling of distributed RDESs by parameterizing tasks and their exchanged messages between multi-speed networked processors. We finish with the real low-level deployment on target hardware devices before applying useful software and hardware tests for checking the delivered system quality. These contributions, published in different journal and conference papers, are applied to different applications in medicine, wireless sensor networks, transportation systems, manufacturing industry, smart grids and microgrids, embedded technologies, and so on. We find significant gains in terms of the system reactivity and flexibility under related constraints. INDEX TERMS Discrete-event system, modeling and verification, design and validation, implementation and scheduling, real-time and energy aware scheduling, test and simulation, co-design and deployment, application. I. INTRODUCTION Automatic flexibility becomes a required criterion for dynamic system adaptability to any possible evolution in related environment. A reconfigurable system is considered in this paper as a discrete-event system (RDES) that adapts its behavior to recover faults or also improve required performance at run-time. It is a set of wired/wireless networked devices that run independent/dependent control software tasks exchanging messages on the network [1], [2]. These tasks and consequently the related messages should be executed under functional, memory, real-time, and energy constraints described in user requirements [3]-[5]. A reconfi...

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A deployment methodology of real-time industrial control applications in distributed controllers

Cited by 5 publications

References 40 publications

An Automated Approach for Adaptive Control Systems

An Automated Approach for Adaptive Control Systems

A fault diagnosis system-PLC design for system reliability improvement

On Reconfiguration Theory of Discrete-Event Systems: From Initial Specification Until Final Deployment

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