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Fotis N. Koumboulis1,Dimitrios G. Fragkoulis2,Aristides A. Michos2.[en_title][J].Control Theory and Technology,2023,21(2):148~160.[Copy]
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Modular supervisory control for multi-floor manufacturing processes
FotisN.Koumboulis1,DimitriosG.Fragkoulis2,AristidesA.Michos2
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(1 Department of Digital Industry Technologies, School of Science, National and Kapodistrian University of Athens, Euripus Campus, 3400 Psahna Euboea, Greece;2 Core Department, National and Kapodistrian University of Athens, Euripus Campus, 3400 Psahna Euboea, Greece)
摘要:
Due to space availability limitations and high land costs, there is an increasing development of multi-floor manufacturing (MFM) systems in urban and industrial areas. The problem of coordination in a multi-floor manufacturing process, in the Ramadge Wonham framework, is introduced. The manufacturing chain of each floor and the elevator system are modeled in the form of finite deterministic automata. The models of the multi-floor manufacturing process are parametric with respect to the number of floors and the number of manufacturing machines on each floor. The coordination desired performance is formulated in the form of desired regular languages in analytic forms. The languages are realized by appropriate supervisors in the form of finite deterministic automata. The models of the supervisors are also parametric with respect to the number of floors and the number of manufacturing machines on each floor. The total control of the coordination of the multi-floor manufacturing process is accomplished via a modular supervisory control architecture. The complexity of the supervisors as well as the complexity of the total modular supervisory architecture are determined in analytic forms with respect to the number of floors and the number of manufacturing machines on each floor. The special case of a two floor manufacturing process is presented as an illustrative example.
关键词:  Manufacturing processes · Discrete event systems · Supervisory control · Industry 4.0
DOI:https://doi.org/10.1007/s11768-023-00135-0
基金项目:This work was supported by the M.Sc. Program in “Advanced Control Systems and Robotics”, National and Kapodistrian University of Athens, Euripus Campus, Greece.
Modular supervisory control for multi-floor manufacturing processes
Fotis N. Koumboulis1,Dimitrios G. Fragkoulis2,Aristides A. Michos2
(1 Department of Digital Industry Technologies, School of Science, National and Kapodistrian University of Athens, Euripus Campus, 3400 Psahna Euboea, Greece;2 Core Department, National and Kapodistrian University of Athens, Euripus Campus, 3400 Psahna Euboea, Greece)
Abstract:
Due to space availability limitations and high land costs, there is an increasing development of multi-floor manufacturing (MFM) systems in urban and industrial areas. The problem of coordination in a multi-floor manufacturing process, in the Ramadge Wonham framework, is introduced. The manufacturing chain of each floor and the elevator system are modeled in the form of finite deterministic automata. The models of the multi-floor manufacturing process are parametric with respect to the number of floors and the number of manufacturing machines on each floor. The coordination desired performance is formulated in the form of desired regular languages in analytic forms. The languages are realized by appropriate supervisors in the form of finite deterministic automata. The models of the supervisors are also parametric with respect to the number of floors and the number of manufacturing machines on each floor. The total control of the coordination of the multi-floor manufacturing process is accomplished via a modular supervisory control architecture. The complexity of the supervisors as well as the complexity of the total modular supervisory architecture are determined in analytic forms with respect to the number of floors and the number of manufacturing machines on each floor. The special case of a two floor manufacturing process is presented as an illustrative example.
Key words:  Manufacturing processes · Discrete event systems · Supervisory control · Industry 4.0