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Maximizing process production rates using permanent constraints
| Details |
Inventors: Lim, Kian Y.; McAnally, III, Henry B.; Stewart, Jr., William B.;
Assignee: The M. W. Kellogg Company (Houston, TX)
Primary Examiner: Gordon; Paul P.
Assistant Examiner:
Attorney, Agent or Firm: The M. W. Kellogg Company
The present invention optimizes the relationship of variables associated with a process having inputs and outputs such that the process has controlled variables, manipulated variables, associated variables and disturbance variables, to maximize production rates. The method of optimizing the relationship includes the steps of prioritizing errors associated with the controlled variables, optimizing controlled variable deviations from their setpoints over a predetermined future time horizon based upon manipulated variable differential moves, suppressing errors associated with the future controlled variable while penalizing moves having large manipulated variable movement for balancing the reduction of future control error against large manipulated variable movement, weighting the manipulated variables for reducing deviation of the manipulated variable from a predetermined target value set artificially high so as to allow preferential movement with respect to some manipulated variables over other manipulated variables, and applying a constraint deviation variable to effectuate deviations outside allowable bounds. |
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DETAILED DESCRIPTION To achieve the objects, features and advantages, in accordance with the purpose of the invention as embodied and broadly described herein, a method for controlling the inputs and outputs of a process having controlled variables, manipulated variables, associated variables and disturbance variables is provided.
The present invention provides a method for optimizing the relationship of variables associated with a process having inputs and outputs.
The process has controlled variables, manipulated variables, associated variables and disturbance variables with at least one controlled variable weighted relative to other controlled variables so as to prioritize errors associated with the controlled variables such that controlled variable deviations are optimized with respect to associated setpoints over a predetermined future time horizon based upon manipulated variable differential moves with at least one future controlled variable being penalized for large manipulated variable movement for balancing the reduction of future control error against large manipulated variable movement.
The method comprises the steps of weighting at least one manipulated variable for reducing deviation of the manipulated variable from a target value set artificially high to allow preferential movement with respect to some manipulated variables over other manipulated variables, and applying a constraint deviation variable to effectuate deviations outside allowable bounds.
Preferably, the method of the present invention comprises a model predictive controller having a control routine for determining differential moves of manipulated variables based on one or more controlled variables, one or more associated variables, one or more disturbance variables, and a permanent constraint target set at an artificially high value.
More particularly, the method of the present invention provides that the control routine is adapted to solve the objective function: Min J=Jcv+J.
lambda.
Jpc+Jd wherein Min J is a least square value comprising the sum of Jcv, J
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