Economic model predictive control for achieving offset-free operation performance of industrial constrained systems. (August 2019)
- Record Type:
- Journal Article
- Title:
- Economic model predictive control for achieving offset-free operation performance of industrial constrained systems. (August 2019)
- Main Title:
- Economic model predictive control for achieving offset-free operation performance of industrial constrained systems
- Authors:
- Yang, Yaru
Zheng, Yi
Li, Shaoyuan
Xu, Shenghu - Abstract:
- Highlights: An offset-free EMPC is proposed for systems in the presence of model mismatch. The mismatch causes feasibility problem in the dynamic economic optimization. The method make sure the effectiveness utilizing a dynamic target optimization stage. Feasibility, input-to-state stability and offset-free property are guaranteed. Abstract: The optimization and control of large-scale industrial systems are typically based on hierarchical structures. The real-time optimizer (RTO) solves a steady-state setpoint optimal problem in long time-scale, based on a rigorous nonlinear model. The down-layer advanced controller is designed to achieve setpoint tracking based on a linear model to get efficient computation. This paradigm on the one hand lacks consideration about dynamic economic performance, on the other hand leads to the unreachable and inconsistent issues, which cause feasibility problem in the controller and the deviation of the plant operating point, i.e., offset. In this work, a linear offset-free economic model predictive controller (EMPC) is proposed for systems in the presence of model mismatch. The method constituted by a dynamic target optimization (DTO) stage and the following EMPC stage. These two stages work in a bidirectional way. The DTO stage uses the dynamic augmented model to derive a feasible trajectory with the terminal target attainable for down-layer EMPC. The EMPC optimizes the dynamic economic performance in the presence of a contractive energy-likeHighlights: An offset-free EMPC is proposed for systems in the presence of model mismatch. The mismatch causes feasibility problem in the dynamic economic optimization. The method make sure the effectiveness utilizing a dynamic target optimization stage. Feasibility, input-to-state stability and offset-free property are guaranteed. Abstract: The optimization and control of large-scale industrial systems are typically based on hierarchical structures. The real-time optimizer (RTO) solves a steady-state setpoint optimal problem in long time-scale, based on a rigorous nonlinear model. The down-layer advanced controller is designed to achieve setpoint tracking based on a linear model to get efficient computation. This paradigm on the one hand lacks consideration about dynamic economic performance, on the other hand leads to the unreachable and inconsistent issues, which cause feasibility problem in the controller and the deviation of the plant operating point, i.e., offset. In this work, a linear offset-free economic model predictive controller (EMPC) is proposed for systems in the presence of model mismatch. The method constituted by a dynamic target optimization (DTO) stage and the following EMPC stage. These two stages work in a bidirectional way. The DTO stage uses the dynamic augmented model to derive a feasible trajectory with the terminal target attainable for down-layer EMPC. The EMPC optimizes the dynamic economic performance in the presence of a contractive energy-like constraint related to the feasible trajectory. Recursive feasibility, input-to-state stability (ISS) and offset-free property are guaranteed. The proposed method is applied to a fluid catalytic cracking (FCC) process. The numerical results demonstrate the effectiveness of the proposed offset-free EMPC for improving the overall economic performance and achieving stability and offset-free property in process control. … (more)
- Is Part Of:
- Journal of process control. Volume 80(2019)
- Journal:
- Journal of process control
- Issue:
- Volume 80(2019)
- Issue Display:
- Volume 80, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 80
- Issue:
- 2019
- Issue Sort Value:
- 2019-0080-2019-0000
- Page Start:
- 103
- Page End:
- 116
- Publication Date:
- 2019-08
- Subjects:
- Offset-free control -- Economic MPC -- Dynamic target optimization -- Stability
Process control -- Periodicals
Fabrication -- Contrôle -- Périodiques
Process control
Periodicals
Electronic journals
660.281 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09591524 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jprocont.2019.04.006 ↗
- Languages:
- English
- ISSNs:
- 0959-1524
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5042.645000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11158.xml