Multi-agent based control kernel for flexible automated production system

被引:0
|
作者
Liu, SH [1 ]
Fu, LC [1 ]
Yang, JH [1 ]
机构
[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 10764, Taiwan
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An Intelligent Automated Robotic Assembly System consists of several subsystems capable of providing dynamic interactions with the environment in order to accomplish a task properly. These subsystems perform various functions like data gathering, decision making, and task execution. Although a great deal of work has been done on individual subsystems, more attention must be given to the way how these subsystems are integrated so as to achieve the high efficiency of automated production. In this paper, we propose a cooperative multi-agent model of a shop floor control system architecture of robotic assembly atuomation and extend this model to all automated production system. Based on this model, we develop a control kernel named TOFAK( Task Oriented Flexible Automation Kernel) to support users to easily implement any shop floor control system. The by-product is to allow system designers to easily expand an existing system or to integrate several automation systems which are all controlled by TOFAK.
引用
收藏
页码:2134 / 2139
页数:2
相关论文
共 50 条
  • [31] Potential of a Multi-Agent System Approach for Production Control in Smart Factories
    Leusin, Matheus E.
    Kueck, Mirko
    Frazzon, Enzo M.
    Maldonado, Mauricio U.
    Freitag, Michael
    IFAC PAPERSONLINE, 2018, 51 (11): : 1459 - 1464
  • [32] Cooperative multi-agent system for production control using reinforcement learning
    Dittrich, Marc-Andre
    Fohlmeister, Silas
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2020, 69 (01) : 389 - 392
  • [33] Dynamic Control Strategy in Power system Based on Multi-agent System
    Ashrafi, Alireza
    Shahrtash, S. Mohammad
    2013 SMART GRID CONFERENCE (SGC'13), 2013, : 173 - 180
  • [34] Distributed coordinative emergency control based on multi-agent system
    Wang, Cheng-Shan
    Yu, Xu-Yang
    Power System Technology, 2004, 28 (03) : 1 - 5
  • [35] Intelligent Formation Control based on Directionality of Multi-Agent System
    Aizawa, Naohide
    Kubota, Naoyuki
    2009 IEEE WORKSHOP ON ROBOTIC INTELLIGENCE IN INFORMATIONALLY STRUCTURED SPACE, 2009, : 87 - +
  • [36] Formation Control based on Flocking Algorithm in Multi-agent System
    Cao, Hu
    Chen, Jie
    Mao, Yutian
    Fang, Hao
    Liu, Huagang
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 2289 - 2294
  • [37] Decentralised coordinated control of microgrid based on multi-agent system
    Dou, Chunxia
    Lv, Mengfei
    Zhao, Tianyu
    Ji, Yeping
    Li, Heng
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (16) : 2474 - 2484
  • [38] Implementation of distributed intelligence control system based on multi-agent
    Jin, FJ
    Wang, H
    Li, P
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 2673 - 2676
  • [39] Hydropower station monitoring and control system based on multi-Agent
    Zhejiang Tongji Vocational College of Science and Technology, Hangzhou 311213, China
    不详
    Dianli Zidonghua Shebei Electr. Power Autom. Equip., 2008, 3 (99-102+110):
  • [40] Frequency Control Based on Multi-agent System in Islanded Microgrid
    Liu, Bailiang
    Huang, Xueliang
    Li, Jun
    ADVANCES IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 614-615 : 1754 - 1758