A Digital Twin Design Methodology for Control, Simulation, and Monitoring of Fluidic Circuits
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929521091936256 |
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| author | Gunes, Veyis |
| author_facet | Gunes, Veyis |
| contents | We propose a synthesis method for the design of digital twins applicable to various systems (pneumatic, hydraulic, electrical/electronic circuits). The methodology allows representing the operation of these systems through an active digital twin, thereby enabling a more suitable and easier computer-aided design, simulation, control, and monitoring. Furthermore, our methodology enables the detection of a system's actions on its own inputs (for example, in pneumatics: backflow of gases trapped in part of a fluidic system onto its own inputs). During the simulation or monitoring phase, the approach also facilitates real-time diagnosis of the controlled system. The outputs, on the controlled physical system or its digital twin, do not depend only on the current inputs but also on the history of the inputs and the history of internal states and variables. In other words, the underlying sequential logic has a memory while an only combinational logic approach does not. These capabilities can contribute to the digital transformation of the factory of the future. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_04058 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Digital Twin Design Methodology for Control, Simulation, and Monitoring of Fluidic Circuits Gunes, Veyis Systems and Control Emerging Technologies We propose a synthesis method for the design of digital twins applicable to various systems (pneumatic, hydraulic, electrical/electronic circuits). The methodology allows representing the operation of these systems through an active digital twin, thereby enabling a more suitable and easier computer-aided design, simulation, control, and monitoring. Furthermore, our methodology enables the detection of a system's actions on its own inputs (for example, in pneumatics: backflow of gases trapped in part of a fluidic system onto its own inputs). During the simulation or monitoring phase, the approach also facilitates real-time diagnosis of the controlled system. The outputs, on the controlled physical system or its digital twin, do not depend only on the current inputs but also on the history of the inputs and the history of internal states and variables. In other words, the underlying sequential logic has a memory while an only combinational logic approach does not. These capabilities can contribute to the digital transformation of the factory of the future. |
| title | A Digital Twin Design Methodology for Control, Simulation, and Monitoring of Fluidic Circuits |
| topic | Systems and Control Emerging Technologies |
| url | https://arxiv.org/abs/2402.04058 |