Interactions between control and process design under economic model predictive control. (August 2020)

• Record Type: Journal Article
• Authors: Oyama, Henrique; Durand, Helen
• Is Part Of: Journal of process control. Volume 92(2020)
• Page Start: 1
• Page End: 18
• Publication Date: 2020-08
• Subjects: Economic model predictive control -- Model predictive control -- Process design -- Process control -- Chemical processes; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2020.05.009
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract: Economic model predictive control (EMPC) is a model-based control scheme that integrates process control and economic optimization, which can potentially allow for time-varying operating policies to maximize economic performance. The manner in which an EMPC operates a process to optimize economics depends on the process dynamics, which are fixed by the process design. This raises the question of how process and EMPC designs interact. Works which have addressed process and control design interactions for steady-state operation have sought to simultaneously develop process designs and control law parameters to find the most profitable way to operate a process that is able to prevent process constraints from being violated and to optimize capital costs in the presence of disturbances. Because EMPC has the potential to operate a process in a transient fashion, this work first focuses on how EMPC and process design interact in the absence of disturbances. Using small-scale process examples, we seek to understand the fundamental nature of the interactions between EMPC and process design, including how these interactions can impact computational complexity of the controller and the design procedure. We subsequently utilize the insights gained to suggest controller design variables which might be considered as decision variables for a simultaneous process and control design problem when disturbances are considered. Highlights: Process design and economic model predictive control design interactions are examined. Relationships between controller computation time and process design are discussed. Simulation explorations using a continuous stirred tank reactor are performed.