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Design and Implementation of Petrinet Based Distributed Control Architecture for Robotic Manufacturing Systems

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MICAI 2007: Advances in Artificial Intelligence (MICAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4827))

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Abstract

In this paper, the methods of the modeling and decomposition of the large and complex discrete event manufacturing systems are considered, and a methodology is presented for hierarchical and distributed control, where the cooperation of each controller is implemented so that the behavior of the overall system is not deteriorated and the task specification is completely satisfied. First, the task specification is defined as a Petrinet model at the conceptual level, and then transformed to the detailed Petrinet representation of manufacturing processes. Finally, the overall Petrinet is decomposed and the constituent subnets are assigned to the machine controllers. The machine controllers are coordinated so that the decomposed transitions fire at the same time. System coordination through communication between the coordinator and machine controllers, is presented. Modeling and control of large and complex manufacturing systems can be performed consistently using Petrinets.

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References

  1. Hasegawa, K., Takahashi, K., Miyagi, P.E.: Application of the Mark Flow Graph to Represent Discrete Event Production Systems and System Control. Trans. of SICE 24, 69–75 (1988)

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  3. Yasuda, G.: Hierarchical and Distributed Control of Discrete Event Robotic Manufacturing Processes by Extended Petri Nets. In: Proceedings of the 4th Asia-Pacific Conference on Industrial Engineering and Management Systems (APIEMS 2002) (2002)

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  4. Yasuda, G.: Distributed Control of Multiple Cooperating Robot Agents using Multithreaded Programming. In: Proceedings of the 16th International Conference on Production Research (2001)

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Alexander Gelbukh Ángel Fernando Kuri Morales

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© 2007 Springer-Verlag Berlin Heidelberg

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Yasuda, G. (2007). Design and Implementation of Petrinet Based Distributed Control Architecture for Robotic Manufacturing Systems. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_110

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  • DOI: https://doi.org/10.1007/978-3-540-76631-5_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76630-8

  • Online ISBN: 978-3-540-76631-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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