| 一种基于测量的双层动态优化策略及其在青霉素发酵过程中的应用(英文) |
| |
| 引用本文： | 池清华,张伟杰,费正顺,梁军. 一种基于测量的双层动态优化策略及其在青霉素发酵过程中的应用(英文)[J]. 中国化学工程学报, 2015, 23(1): 112-120. DOI: 10.1016/j.cjche.2014.10.011 |
| |
| 作者姓名： | 池清华 张伟杰 费正顺 梁军 |
| |
| 作者单位： | 1.State Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China;2.Department of Measurement Technology and Instruments, Zhejiang University of Science and Technology, Hangzhou 310023, China |
| |
| 基金项目： | Supported by the National Natural Science Foundation of China(61174114);the Research Fund for the Doctoral Program of Higher Education in China(20120101130016);the Scholarship Award for Excellent Doctoral Student granted by Ministry of Education |
| |
| 摘 要： | One measurement-based dynamic optimization scheme can achieve optimality under uncertainties by tracking the necessary condition of optimality (NCO-tracking), with a basic assumption that the solution model remains invariant in the presence of al kinds of uncertainties. This assumption is not satisfied in some cases and the stan-dard NCO-tracking scheme is infeasible. In this paper, a novel two-level NCO-tracking scheme is proposed to deal with this problem. A heuristic criterion is given for triggering outer level compensation procedure to update the solution model once any change is detected via online measurement and estimation. The standard NCO-tracking process is carried out at the inner level based on the updated solution model. The proposed approach is il ustrated via a bioreactor in penicil in fermentation process.
|
| 关 键 词： | Dynamic optimization Uncertainty NCO-tracking Solution model |
| 收稿时间： | 2013-05-04 |
A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process |
| |
| Qinghua Chi;Weijie Zhang;Zhengshun Fei;Jun Liang. A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process[J]. Chinese Journal of Chemical Engineering, 2015, 23(1): 112-120. DOI: 10.1016/j.cjche.2014.10.011 |
| |
| Authors: | Qinghua Chi Weijie Zhang Zhengshun Fei Jun Liang |
| |
| Affiliation: | 1.State Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China;2.Department of Measurement Technology and Instruments, Zhejiang University of Science and Technology, Hangzhou 310023, China |
| |
| Abstract: | One measurement-based dynamic optimization scheme can achieve optimality under uncertainties by tracking the necessary condition of optimality (NCO-tracking), with a basic assumption that the solution model remains invariant in the presence of al kinds of uncertainties. This assumption is not satisfied in some cases and the stan-dard NCO-tracking scheme is infeasible. In this paper, a novel two-level NCO-tracking scheme is proposed to deal with this problem. A heuristic criterion is given for triggering outer level compensation procedure to update the solution model once any change is detected via online measurement and estimation. The standard NCO-tracking process is carried out at the inner level based on the updated solution model. The proposed approach is il ustrated via a bioreactor in penicil in fermentation process. |
| |
| Keywords: | Dynamic optimization Uncertainty NCO-tracking Solution model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《中国化学工程学报》浏览原始摘要信息 |
|
点击此处可从《中国化学工程学报》下载全文 |
