Inferential control of distillation compositions: selection of model and control configuration

作     者：Kano, M Showchaiya, N Hasebe, S Hashimoto, I 

作者机构：Kyoto Univ Dept Chem Engn Sakyo Ku Kyoto 6068501 Japan 

出 版 物：《CONTROL ENGINEERING PRACTICE》 (控制工程实践)

年 卷 期：2003年第11卷第8期

页      面：927-933页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

基　　金：Research for the Future Program, (JSPS-RFTF96R14301) Japan Society for the Promotion of Science, JSPS 

主　　题：inferential control distillation partial least squares control-relevant identification cascade control 

摘      要：This article is concerned with a classical problem of how to design an inferential control system for enhancing the performance of distillation composition control. In this article, a new inferential control, termed predictive inferential control, is proposed. In the predictive inferential control system, future compositions predicted from on-line measured process variables are controlled instead of the estimates of current compositions. The key concept of the predictive inferential control is to realize feedback control with a feedforward effect by the use of the inherent nature of a distillation column. The detailed dynamic simulation results show that the proposed predictive inferential control scheme integrated with cascade control works considerably better than other control schemes. Furthermore, the improvement of the control performance through iterative modeling or control-relevant identification is also demonstrated. (C) 2002 Elsevier Science Ltd. All rights reserved.