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A Novel Bio-Inspired Approach for Adaptive Manufacturing System Control

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New World Situation: New Directions in Concurrent Engineering

Part of the book series: Advanced Concurrent Engineering ((ACENG))

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Abstract

The trend towards a global market and the increasing customer orientation impel the manufacturing discipline to seek new paradigms. As biological organisms are quite capable of adapting to environmental changes and stimulus, bio-inspired concepts have been recognized much suitable for adaptive manufacturing system control. This paper, therefore, proposes a novel concept of NeuroEndocrine-Inspired Manufacturing System (NEIMS). The proposed NEIMS control architecture is inherited from neuro-control and hormone regulation principles to agilely deal with the frequent occurrence of unexpected disturbances at the shop floor level. From the cybernetics point of view, the control model of NEIMS has been described in detail. And a test bed has been set up to enable the NEIMS simulation.

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Acknowledgments

This paper is supported by Fok Ying Tung Education Foundation (No. 111056), and the Research Fund for Doctoral Program of Higher Education, China (No. 20093218110020), and the New Century Excellent Talents in University, China (NCET-08).

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Wenbin Gu, Dunbing Tang & Lei Wang

Authors
  1. Wenbin Gu
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  2. Dunbing Tang
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  3. Lei Wang
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Corresponding author

Correspondence to Dunbing Tang .

Editor information

Editors and Affiliations

  1. , Institute of Machine Design Fundamentals, Warsaw University of Technology, Narbutta 84, Warsaw, 02-524, Poland

    Jerzy Pokojski

  2. Kichijoji-Higashicho 3-29-5, Musashino, 180-0002, Tokyo, Japan

    Shuichi Fukuda

  3. , Faculty of Mechanical Engineering and, AGH University of Science and Technology, Al. Mickiewicza 30, Krakow, 30-059, Poland

    Józef Salwiński

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Gu, W., Tang, D., Wang, L. (2010). A Novel Bio-Inspired Approach for Adaptive Manufacturing System Control. In: Pokojski, J., Fukuda, S., Salwiński, J. (eds) New World Situation: New Directions in Concurrent Engineering. Advanced Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-024-3_1

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  • DOI: https://doi.org/10.1007/978-0-85729-024-3_1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-023-6

  • Online ISBN: 978-0-85729-024-3

  • eBook Packages: EngineeringEngineering (R0)

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