RTO with Modifier Adaptation Method Applied to the FCC Uint

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• 英文论文题名：RTO with Modifier Adaptation Method Applied to the FCC Uint
• 论文作者：Meng Huang ; Yi Zheng ; Shaoyuan Li
• 英文论文作者：Meng Huang ; Yi Zheng ; Shaoyuan Li ; Shanghai Jiao Tong University
• 年：2017
• 作者机构：Shanghai Jiao Tong University;
• 英文论文关键词：Real Time Optimization ; Fluid Catalytic Cracking ; Modifier Adaptation
• 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：TE624
• 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：267k
• 原文格式：D
• 会议级别：全国

摘要

Real time optimization(RTO) is widely used in the refinery industries. Fluid catalytic cracking(FCC) process is one of the most complex processes in petrochemical refinery. Due to complex reactions in FCC, the mathematical model of the FCC can't describe the plant perfectly. The RTO strategy based on mismatch model will lead to sub-optimal results. Modifieradaptation(MA) method is a new strategy solving the modelling mismatch in RTO. A basic MA method is applied to the FCC by using the forward finite-differencing gradient computation. The simulation results show satisfied performance of the MA method.
Real time optimization(RTO) is widely used in the refinery industries. Fluid catalytic cracking(FCC) process is one of the most complex processes in petrochemical refinery. Due to complex reactions in FCC, the mathematical model of the FCC can't describe the plant perfectly. The RTO strategy based on mismatch model will lead to sub-optimal results. Modifieradaptation(MA) method is a new strategy solving the modelling mismatch in RTO. A basic MA method is applied to the FCC by using the forward finite-differencing gradient computation. The simulation results show satisfied performance of the MA method.

引文

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