| Download | - View accepted manuscript: Agent-based control of manufacturing processes (PDF, 805 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1504/IJMR.2006.012256 |
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| Author | Search for: Albadawi, Zahir; Search for: Boulet, Benoit; Search for: DiRaddo, Robert1; Search for: Girard, Patrick1; Search for: Rail, Alexandre; Search for: Thomson, Vincent |
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| Affiliation | - National Research Council of Canada. NRC Industrial Materials Institute
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| Format | Text, Article |
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| Subject | adaptivity; agent; architecture; ball mill grinding; control; diagnostics; error recovery; flexibility; model-based control; thermoforming |
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| Abstract | Modern manufacturing systems deal with highly dynamic and complex processes, and need to adapt to rapid changes in manufacturing environments. These requirements can be met by model-based control that greatly improves process adaptiveness by integrating process phenomena knowledge with advanced simulation tools. Intelligent agent-based technologies provide a flexible platform for the implementation of model-based control. Two model-based control systems were implemented using an agentbased architecture: a linear, tuneable model for the plastic thermoforming process, and a non-linear, mathematical and rule-based model for the metal powder grinding process. Resulting advantages and improvements in performance, adaptiveness and productivity are highlighted. |
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| Publication date | 2006-08-01 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 48919 |
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| NPARC number | 15895968 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 70899707-98d9-43a3-9709-4b31612c0cd4 |
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| Record created | 2010-07-30 |
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| Record modified | 2020-04-22 |
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