Distributed State Estimation of FCCU Riser Temperature

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• 英文论文题名：Distributed State Estimation of FCCU Riser Temperature
• 论文作者：Li Mengying ; Zheng Yi ; Li Shaoyuan
• 英文论文作者：Li Mengying ; Zheng Yi ; Li Shaoyuan ; Department of Automation ; Shanghai Jiao Tong University ; and Key Laboratory of System Control and Information Processing ; Ministry of Education
• 年：2017
• 作者机构：Department of Automation,Shanghai Jiao Tong University,and Key Laboratory of System Control and Information Processing,Ministry of Education;
• 英文论文关键词：state observer ; moving horizon estimation ; differential-algebraic equations ; riser reactor of fluid catalytic cracking unit
• 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：TE966
• 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：5
• 文件大小：694k
• 原文格式：D
• 会议级别：全国

摘要

The temperature of riser reactor plays an important role in the operation and control of fluid catalytic cracking unit(FCCU). However, the FCCU riser only has limit temperature sensors. In this paper, a distributed state observer strategy is proposed to estimate temperature distribution of the whole riser. Based on moving horizon estimation(MHE), this paper presents a simplified MHE scheme for differential-algebraic systems that is applied to each observer that are combined together to form a large distributed state observer. The simulation results show that the distributed state observer works well and is able to estimation the temperature distribution.
The temperature of riser reactor plays an important role in the operation and control of fluid catalytic cracking unit(FCCU). However, the FCCU riser only has limit temperature sensors. In this paper, a distributed state observer strategy is proposed to estimate temperature distribution of the whole riser. Based on moving horizon estimation(MHE), this paper presents a simplified MHE scheme for differential-algebraic systems that is applied to each observer that are combined together to form a large distributed state observer. The simulation results show that the distributed state observer works well and is able to estimation the temperature distribution.

引文

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