SYSTEM AND METHOD FOR SUPERIOR PERFORMANCE WITH RESPECT TO BEST PERFORMANCE VALUES IN MODEL PREDICTIVE CONTROL APPLICATIONS

摘要

Model predictive control is used to obtain the best performance value for a given objective in a dynamic environment. One or more best performance values for a model predictive application, such as in a petrochemical process, are obtained by utilizing asymmetric dynamic behavior that pushes the process to the edges of the operative window. When a setpoint becomes infeasible, a controller for an application slows down when moving away from a specified setpoint. When the infeasibility clears and the controller starts moving back towards the setpoint, the controller will follow a tuned speed. When the controller is moving in a direction against economic profit, the controller slows down and when moving in the direction of economic profit, the controller follows the tuned dynamic speed. The best performance value is computed by the controller for each controlled variable and is equal to the setpoint for the controlled variables with a setpoint or the highest profit value between limits for controlled values affected by economic functions.