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Communication Dans Un Congrès Année : 2020

Recursive hybrid control architecture to deal with reactivity in the context of industry 4.0

Résumé

As a response to unexpected events sourced either from external environment or internal environment, manufacturing companies have to decide and adjust their system autonomously. Indeed, this has brought significant reactivity, adaptability, and stability to disturbances and production changes. However, an ever myopic behavior of locally autonomous entities has led such decision-making process to various drawbacks such as difficulty to get immediate information for performing global decision. Consequently, the interest of hybrid control system has evolved using holonic or multi-agent system paradigms so as to provide an overall and efficient production performance. This paper is aimed to provide state-of-the-art on holonic reference architectures and multi-agent system paradigms and to propose recursive hybrid control architecture by stipulating two decision-making layers namely white-collar layer and blue-collar layer. The decision-making is mainly managed by locally autonomous decision entities incorporated in the blue-collar layer with interfacing and updating role of white-collar entities in the white-collar layer. This layer based control architecture is proposed to fit with the emergence of Cyber Physical System (CPS) and the need of dynamic switching in hybrid control architecture.
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Dates et versions

hal-03083251 , version 1 (18-12-2020)

Identifiants

  • HAL Id : hal-03083251 , version 1

Citer

Tsegay Tesfay Mezgebe, Hind Bril El-Haouzi. Recursive hybrid control architecture to deal with reactivity in the context of industry 4.0. 13ème Conférence Internationale de Modélisation, Optimisation et Simulation, MOSIM'20, Nov 2020, Agadir, Morocco. ⟨hal-03083251⟩
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