Abstract
The Model Based Predictive Control (MPC) is an advanced control technique that can deal with of multivariable systems with interactions and considerable dead times, nonlinearities and restrictions on the variables. Different types of objective functions can be used in the MPC control algorithm with specific parameter settings for each type of objective function. In this work a MPC control strategy for distillation column using an objective function with economic cost was implemented. The MPC controller with the objective function proposed worked properly, stabilizing the distillation column when it has undergone a change in the setpoint and also a series of disturbances in the feed. Using energy point of view, the implemented controller is more efficient than the standard MPC controller.
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.
