Abstract
Decentralized control system design comprises the selection of a suitable control structure and controller parameters. In the present paper, a mixed integer optimization is used to determine the optimal control structure and the optimal controller parameters simultaneously. The process dynamics is included explicitly into the constraints using a rigorous nonlinear dynamic process model. Depending on the objective function which is used for the evaluation of competing control systems, we propose two different formulations. These formulations lead to a mixed integer dynamic optimization problems which are solved with mixed integer nonlinear programming methods after discretization of the underlying process dynamics. The proposed methodology is applied to an inferential control of a reactive distillation column as a challenging benchmark problem for chemical process control. Results are compared with previous studies, and conclusions are drawn for future work in this field.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
