Robust Iterative Learning Control for Alloy Batch Weighing Process in Refining Furnace

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• 英文论文题名：Robust Iterative Learning Control for Alloy Batch Weighing Process in Refining Furnace
• 论文作者：Yibo Huang ; Jianqi An ; Yong He ; Min Wu ; Takao Terano
• 英文论文作者：Yibo Huang ; Jianqi An ; Yong He ; Min Wu ; Takao Terano ; School of Automation ; China University of Geosciences ; Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems ; Department of Computer Science ; School of Computing ; Tokyo Institute of Technology
• 年：2017
• 作者机构：School of Automation,China University of Geosciences;Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems;Department of Computer Science,School of Computing,Tokyo Institute of Technology;
• 英文论文关键词：Iterative learning control ; 2D weighing model ; Batch process ; Alloy weighing process ; Robust control
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：TF703
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：282k
• 原文格式：D
• 会议级别：全国

摘要

This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional(2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process. Second, a control scheme is proposed for the 2D model of alloy weighing process.Third, a robust iterative learning controller is developed and a stability condition of the 2D system is derived through linear matrix inequality(LMI) obtained by a 2D Lyapunov-Krasovskii function. Finally, the simulation results show that the proposed method can sufficiently improve the control precision of the alloy weighing process.
This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional(2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process. Second, a control scheme is proposed for the 2D model of alloy weighing process.Third, a robust iterative learning controller is developed and a stability condition of the 2D system is derived through linear matrix inequality(LMI) obtained by a 2D Lyapunov-Krasovskii function. Finally, the simulation results show that the proposed method can sufficiently improve the control precision of the alloy weighing process.

引文

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