Abstract
In this paper, a multivariable Dynamic Matrix Control (DMC) tuning using multi-objective optimization (MO) is presented and evaluated on the one-staged refrigeration cycle model described in the CIC2018 benchmark challenge – an adaptation of the benchmark proposed in the PID18 Conference. The MO approach takes advantage of the relative indexes given by the benchmark, allowing knowledge about how much the DMC parameters influence control performance. Results of the MO approach are shown using Level Diagrams (LD), a tool for visualization and analysis of multidimensional Pareto fronts. Consequently, different DMC tunings are selected for different trade-offs between the relative indexes. Selection procedure shows how relevant an analysis of the Pareto Front can be in the decision-making stage for multivariable controller tuning.
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.
