摘要：AbstractIn the present work, we investigate the challenges and limitations of the incorporation of nonlinear model predictive control (NMPC) for the integration of design and control of chemical processes. To tackle this problem, we implemented a simultaneous methodology based on a back-off approach, in which the process design moves away from the optimal steady-state to a new dynamically feasible operating condition under process disturbances. The procedure is formulated as a series of bounded optimization problems in a sequential manner to identify the optimal design of the process with optimal control performance. Power series expansion (PSE) is used to represent constraints and cost functions in the bounded optimization problems. The approach has been implemented on a wastewater treatment plant. Results indicate that the proposed methodology leads to considerable improvement in the process economics and performance compared to a decentralized PI control strategy.
关键词：KeywordsInteraction between designcontrolModel predictiveoptimization based controlProcess optimization
