Data-driven LQG benchmaking for economic performance assessment of advanced process control systems
Xu, Qiaoling1; Zhao, Chao1; Zhang, Dengfeng2; An, Aimin3; Zhang, Chi4
2011
会议录名称Proceedings of the American Control Conference
页码5085-5090
出版者Institute of Electrical and Electronics Engineers Inc.
摘要In this paper, a data-driven subspace approach for economic performance assessment of the advanced process control (APC) systems is presented. The method introduces LQG tradeoff curve to estimate potential of reduction in variance, which is directly obtained from subspace matrices using closed loop data. To exploit feasible economic performance of the APC systems, the proposed approach considers the uncertainties induced by process variability and evaluates the economic performance through solving stochastic optimization problem. Results of the performance evaluation provide a guideline for the control system tuning to realize the potential improvement in profitability of process. The application of the proposed method is illustrated by its benefits evaluation on a simulated example. © 2011 AACC American Automatic Control Council.
关键词Control systems Intelligent control Optimization Advanced Process Control Closed loops Data driven Economic performance Process Variability Stochastic optimization problems Subspace approach Trade-off curves
收录类别EI
语种英语
EI入藏号20113914376815
EI主题词Process control
ISSN07431619
来源库Compendex
分类代码731.1 Control Systems - 921.5 Optimization Techniques
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/117010
专题电气工程与信息工程学院
作者单位1.Faculty of College of Chemistry and Chemical Engineering, FuZhou University, China;
2.Faculty of School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China;
3.Faculty of School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, China;
4.School of Economics, Zhejiang University, China
推荐引用方式
GB/T 7714
Xu, Qiaoling,Zhao, Chao,Zhang, Dengfeng,et al. Data-driven LQG benchmaking for economic performance assessment of advanced process control systems[C]:Institute of Electrical and Electronics Engineers Inc.,2011:5085-5090.
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