Coordination of distributed MPC systems through dynamic real-time optimization with closed-loop prediction

被引：4

作者：

Li, Hao ^{[1
]}

Swartz, Christopher L. E. ^{[1
]}

机构：

[1] McMaster Univ, Dept Chem Engn, Hamilton, ON, Canada

来源：

27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT B | 2017年 / 40B卷

关键词：

dynamic real-time optimization; distributed MPC; coordination;

D O I：

10.1016/B978-0-444-63965-3.50269-5

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Large plants, such as refineries, typically employ a distributed-MPC configuration positioned within a hierarchical automation architecture, with steady-state real-time optimization (RTO) providing set-points to the underlying distributed MPC system. This paper investigates coordination of distributed MPC systems through dynamic RTO (DRTO). A recent DRTO approach considered the use of closed-loop dynamics at the DRTO level in generating the predicted response of the plant under constrained MPC for computing economically optimal set-point trajectories. In this paper, a closed-loop DRTO strategy of this type is applied to determine set-point trajectories for distributed MPC controllers. The performance of the proposed scheme is assessed through evaluation on a case study, and compared to that of centralized and decentralized control.

引用

页码：1603 / 1608

页数：6