Economic Performance Assessment of Process Control: a Probability Optimization Approach
In this paper, a probability optimization approach for economic performance assessment of the constrained process control under uncertainty is presented. Performance evaluation problems are formulated as the stochastic problems which incorporate the uncertainties in both process operation and economic objective. Such problem formulation helps to identify the opportunity of improving the profitability of the process by taking appropriate risks. Both the steady state economic benefit and the optimal operation conditions can be obtained by solving the defined economic optimization problems. Further, the proposed method uses the LQG benchmark other than conventional minimum variance control (MVC) benchmark to estimate potential of variance reduction, which results in a more reasonable performance assessment. The proposed algorithm is also illustrated by a simulated example of the model predictive control system.
Chao Zhao Qiaoling Xu Denfeng Zhang Aimin An
College of Chemistry and Chemical Engineering, FuZhou University, FuZhou, 350108, P.R.China. School of Mechanical Engineering,Nanjing University of Science and Technology, Nanjing, P.R.China. School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanz
国际会议
2011 International Symposium on Advanced Control of Industrial Processes(2011工业过程先进控制技术国际研讨会)
杭州
英文
585-590
2011-05-01（万方平台首次上网日期，不代表论文的发表时间）