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EP0582069A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

Two-phase method for real time process control

Assignee: Praxair Technology Inc
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Filing: 1993-06-15
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Granted: —
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Expires: 2013-06-15
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Abstract

Abstract A method of process control using linear programming models to implement the control of one or more controlled variables to maintain a desired target value over a given time horizon. The controlled variables are controlled by a process controller which adjusts manipulated variables in real time. The method uses two linear programming models with the second model computed from the solution of the first in which the absolute value of the deviation for each controlled variable from its target value over a specified time horizon is computed. This permits the controlled variables to be adjusted with the changes in the manipulated variables held to a minimum over the time horizon under control.

Inventors

  • 👤 Dante Patrick Bonaquist
  • 👤 Michael Dale Jordan
  • 👤 Mark Henry Karwan

Bibliographic Details

Application Number —
Jurisdiction EP
Data Source google_patents
Last Synchronized 2026-10-31 17:40
CPC Classifications
G; G05; G05B; G05B13/00; G05B13/02; G05B13/04; G05B13/048; F; F25; F25J; F25J3/00; F25J3/02; F25J3/04; F25J3/044; F25J3/04763; F25J3/04769; F25J3/04848; G05B13/042; F25J2290/00; F25J2290/10

Claims Analysis

Total Claims: 10
Claim 1
Independent Claim 234 words
A method for controlling a process having one or more manipulated variables and one or more controlled variables with the controlled variables having target values which depend upon the adjusted value of said manipulated variables, with the process controlled in real time using a process controller under the operation of a computer comprising the steps of: establishing a first performance index to compute the absolute value of the deviation for each controlled variable in the process from its target value over a specified time horizon; generating a first linear programming model the solution of which will minimize said first performance index; solving said first linear programming model; establishing a second performance index to compute the absolute change in the value of each manipulated variable from its previous value over a specified time interval; generating a second linear programming model the solution of which will minimize said second performance index; incorporating at least one dynamic constraint in said second linear programming model computed from the solution of said first linear programming model and being equal to a value above zero and of no greater than the value of the solution of said first linear programming model plus a predetermined amount; solving said second linear programming model with said dynamic constraint; and adjusting the manipulated variables in response to the solution of said second linear programming model to drive said controlled variables toward their target values.
Claim 2
Dependent Claim 25 words
A method defined in claim 1 further comprising: using said second performance index for defining an objective function for said first performance index as follow:
Claim 3
Dependent Claim 27 words
A method as defined in claim 2 wherein said predetermined value is a fraction of the value of the solution of the first phase linear programming value.
Claim 4
Dependent Claim 63 words
A method as defined in claim 2 wherein said predetermined value is computed as follows: ΔIAE p = (N) Δ p (119) Where: N   number of time intervals considered in the controller time horizon Δ p increase in the contribution to phase one performance index from deviations from the target value of controlled variable p per time interval allowed for phase two solution
Claim 5
Independent Claim 18 words
A method as defined in 3 wherein said specified time horizon covers a predetermined number of time intervals.
Claim 6
Dependent Claim 38 words
A method as defined in claim 5 further comprising implementing only the manipulated variable charge corresponding to the first element in the time sequence of manipulated variable changes derived from the solution of said second linear programming model.
Claim 7
Dependent Claim 30 words
A method as defined in claim 6 further comprising measuring the current state of the process defined by the most recent values for all variables including controlled and manipulated variables.
Claim 8
Dependent Claim 25 words
A method as defined in claim 7 wherein external unmeasured disturbances in each time interval will cause the state of the process to be modified.
Claim 9
Dependent Claim 36 words
A method as defined in claim 8 wherein the steps of solving said first linear programming model and said second linear programming model are repeated each time inverval based on the updated state of the process.
Claim 10
Dependent Claim 52 words
A method as defined in claim 9 wherein the process being controlled is a process for separating air into high purity gas streams with one of the controlled variables being the degree of purity of a discharged gas stream and wherein one of the manipulated variables is the air flow feed stream.

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