Abstract
This work deals with the long-range predictive control of a flotation circuit simulated using a phenomenological model. As in the generalized predictive control approach, the control strategy is based on a multistep cost function minimization subject to the constraint that, over a certain control horizon, the future control increments are equal to zero. A linear discrete input-output model is used to represent the complex dynamics of the flotation circuit. The control variables are the air feed rate and the collector feedrate to ore feedrate ratio. A robust identification scheme is used for parameter estimation purposes. Simulation results highlight the performance of this long-range predictive control algorithm.
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.
