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Modular Supervisory Control for the Coordination of a Manufacturing Cell with Observable Faults
Nikolaos D Kouvakas1, Fotis N Koumboulis1, Dimitrios G Fragkoulis2
1Department of Digital Industry Technologies, School of Science, National and Kapodistrian University of Athens, Euripus Campus, 34400 Evia, Greece.
This study presents a modular supervisory control scheme using finite deterministic automata to manage manufacturing cells with device faults. The system ensures operational performance and safety requirements are met despite low-level faults.
Area of Science:
- Manufacturing Systems Engineering
- Control Theory
- Automata Theory
Background:
- Manufacturing cells are susceptible to faults originating from process devices.
- Ensuring operational functionality and safety in fault-prone systems is a significant challenge.
- Existing control schemes may not adequately address fault tolerance at various levels.
Purpose of the Study:
- To develop a modular supervisory control scheme for manufacturing cells with device faults.
- To formulate desired functionality and safety specifications using formal languages.
- To achieve fault tolerance for process coordination despite low-level device faults.
Main Methods:
- Modular modeling of subsystems using finite deterministic automata.
- Formulation of desired functionality and safety specifications as eleven languages.
- Expression of languages as regular expressions and realization in supervisor forms.
- Computation of the complexity of the developed supervisor scheme.
Main Results:
- A modular supervisory design scheme was successfully accomplished.
- The scheme provides satisfactory performance in the presence of faults.
- Safety requirements are guaranteed through the designed supervisor.
- The control scheme demonstrates tolerance to upper-level faults despite low-level device faults.
Conclusions:
- The proposed modular supervisory control scheme effectively manages faults in manufacturing cells.
- The use of finite deterministic automata and formal languages ensures both performance and safety.
- This approach offers a robust solution for fault-tolerant manufacturing systems.
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