期刊
JOURNAL OF PROCESS CONTROL
卷 24, 期 8, 页码 1260-1272出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2014.04.009
关键词
Economic model predictive control; Advanced step nonlinear model predictive; control; Nonlinear programming; Sensitivity; Path-following method
资金
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1160014] Funding Source: National Science Foundation
This study adapts the advanced step NMPC framework to Economic NMPC. Here, sufficient conditions for nominal stability are derived for NMPC controllers that incorporate economic stage costs with appropriate regularization. To guarantee these conditions, we derive a constructive strategy to calculate the regularization term directly. Moreover, we extend the sensitivity components in the advanced step NMPC framework to consider a rigorous path-following algorithm. This approach accounts for active set changes and allows much weaker constraint qualifications. Moreover, using an l(1) formulation of the NMPC problem satisfies these constraint qualifications and allows more reliable solution of the moving horizon optimization problem, even in the presence of noise. Finally, all of these concepts are demonstrated on a detailed case study with a continuously stirred tank reactor. (C) 2014 Elsevier Ltd. All rights reserved.
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