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On an LAS-integrated soft PLC system based on WorldFIP fieldbus.

Geng Liang1, Zhijun Li, Wen Li

  • 1School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing, 102206, China. liangeng1976@163.com

ISA Transactions
|September 6, 2011
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Summary

This study introduces a soft PLC system using WorldFIP fieldbus to improve communication efficiency and real-time performance in large-scale discrete control systems. The new system demonstrates practical applicability for industrial automation.

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Area of Science:

  • Industrial Automation and Control Systems
  • Fieldbus Communication Technologies
  • Embedded Systems Engineering

Background:

  • Traditional WorldFIP field intelligent nodes exhibit limitations in communication efficiency and real-time performance for large-scale discrete control.
  • Existing systems struggle to meet the demands of complex industrial environments requiring high responsiveness.

Purpose of the Study:

  • To design and implement a novel soft PLC system integrated with WorldFIP fieldbus.
  • To enhance communication efficiency and real-time control capabilities in industrial automation.
  • To evaluate the system's performance under various network conditions and workloads.

Main Methods:

  • Integration of Link Activity Scheduler (LAS) into a soft PLC system.
  • Utilization of field intelligent I/O modules as networked basic nodes.
  • Development of configuration, supervisory, and embedded running subsystems.
  • Experimental evaluation focusing on network data transmission delay and CPU workload impacts.

Main Results:

  • The proposed soft PLC system effectively implements discrete control logic.
  • Experimental results show the system's practical applicability in both discrete and process control scenarios.
  • Performance is evaluated considering network latency and processing load.

Conclusions:

  • The developed soft PLC system offers a viable solution to overcome the limitations of traditional WorldFIP nodes.
  • The system provides improved communication efficiency and real-time performance for large-scale industrial control.
  • The approach is deemed practically applicable for enhancing industrial automation systems.