Abstract
This paper presents the design of a RMPC (Robust Model Predictive Controller) for effective control of the copper recovery in an industrial flotation column. Copper ore properties vary frequently causing uncertainties and disturbances in the dynamics of the recovery process in the flotation column. Using the system identification tools, a MIMO model of this plant was achieved, whose validation results exhibited adequacy degrees of 88.21% for froth depth, and 87.32% for air holdup. The design of the RMPC was carried out based on the nominal MIMO model and its obtained uncertainties. It was demonstrated that the designed RMPC makes it possible to control the process with high precision under various industrial operation scenarios. The simulation results of the control system designed with the RMPC and the GPC (Generalized Predictive Controller) revealed an improved performance when using the RMPC.
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.
