Scholarlink

This paper presents a novel automation architecture for seamlessly making automated systems energy efficient while attaining its functional requirements. The architecture is multi-agent, ensuring the constellation of agents pursues energy optimality of the system, while working together on achieving functional requirements such as production goals. To ensure the industrial applicability of the agents, they were implemented as function blocks in IEC 61499 distributed automation architecture. The proposed solution was tested on a laboratory-scale model of assembly system consisting of six conveyors arranged in a circular configuration. Two experiments were conducted: one demonstrated the algorithm’s ability to track varying energy consumption setpoints, while in the other new workpieces were added into the system to verify stability in energy usage. Results show that the algorithm effectively regulates momentary energy demand without compromising system performance.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-agent Automation Architecture for Energy Optimality Seamlessly Achieved Without Disrupting Functional Requirements

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Kirill Zhukovskii,
  • Pasindu Padmathilaka,
  • Polina Ovsiannikova,
  • Pranay Jhunjhunwala,
  • Valeriy Vyatkin

摘要

This paper presents a novel automation architecture for seamlessly making automated systems energy efficient while attaining its functional requirements. The architecture is multi-agent, ensuring the constellation of agents pursues energy optimality of the system, while working together on achieving functional requirements such as production goals. To ensure the industrial applicability of the agents, they were implemented as function blocks in IEC 61499 distributed automation architecture. The proposed solution was tested on a laboratory-scale model of assembly system consisting of six conveyors arranged in a circular configuration. Two experiments were conducted: one demonstrated the algorithm’s ability to track varying energy consumption setpoints, while in the other new workpieces were added into the system to verify stability in energy usage. Results show that the algorithm effectively regulates momentary energy demand without compromising system performance.