The Component-based Design Method for Agent-based Multi-AGV System
文献类型：会议论文
| 作者 | Wan GX(万广喜)1,2,3 ; Nie ZB(聂振邦)1,2,3; Wang P(王鹏)1,2,3; Zeng P(曾鹏)1,2
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| 出版日期 | 2019 |
| 会议日期 | July 22-25, 2019 |
| 会议地点 | Helsinki-Espoo, Finland |
| 关键词 | component-based design agent AGV IEC 61499 function block |
| 页码 | 647-654 |
| 英文摘要 | The agent-based multi-AGV system is envisioned to be highly flexible and adaptable for the evolving requirement of industrial automation. However, the current design method of the automation software remains monolithic and is still based on the centralized control mechanism, which makes the system engineers struggle with the complexity of the development process under the distributed system requirements. This paper applies component-based design method and the embedded agent architecture for multi-AGV system to reduce the agent design effort and improve the flexibility of the design process, and proposes a task-oriented component granularity partitioning method. A multi-AGV system in laboratory level test scenario verifies the easy-and-flexible-using of this investigation. |
| 源文献作者 | IEEE Industrial Electronics Society (IES) ; Tampere University ; The Institute of Electrical and Electronics Engineers (IEEE) |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 1935-4576 |
| ISBN号 | 978-1-7281-2927-3 |
| WOS记录号 | WOS:000529510400096 |
| 源URL | [http://ir.sia.cn/handle/173321/26939]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Wan GX(万广喜) |
| 作者单位 | 1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences 3.University of Chinese Academy of Sciences, Beijing 100049, China |
| 推荐引用方式 GB/T 7714 | Wan GX,Nie ZB,Wang P,et al. The Component-based Design Method for Agent-based Multi-AGV System[C]. 见:. Helsinki-Espoo, Finland. July 22-25, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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