CASCADED MODEL PREDICTIVE CONTROL (MPC) APPROACH FOR PLANTWIDE CONTROL AND OPTIMIZATION

• US 20160018796A1
• Filed: 07/21/2014
• Published: 01/21/2016
• Est. Priority Date: 07/21/2014
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Lu, Joseph Z.
• Granted Patent: US 9,733,629 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A method includes obtaining a planning model for an industrial facility at a master MPC controller and sending at least one optimization call from the master MPC controller to one or more slave MPC controllers. The method also includes receiving at least one proxy limit value from the slave MPC controller(s) in response to the at least one optimization call. The at least one proxy limit value identifies to what extent one or more process variables controlled by the slave MPC controller(s) are adjustable without violating any process variable constraints. In addition, the method includes performing plantwide optimization at the master MPC controller using the planning model and the at least one proxy limit value. The at least one proxy limit value allows the master MPC controller to honor the process variable constraints of the slave MPC controller(s) during the plantwide optimization.

Claims

1. A method comprising:

obtaining a planning model for an industrial facility at a master model predictive control (MPC) controller;

sending at least one optimization call from the master MPC controller to one or more slave MPC controllers;

receiving at least one proxy limit value from the one or more slave MPC controllers at the master MPC controller in response to the at least one optimization call, wherein the at least one proxy limit value identifies to what extent one or more process variables controlled by the one or more slave MPC controllers are adjustable without violating any process variable constraints; and

performing plantwide optimization at the master MPC controller using the planning model and the at least one proxy limit value, wherein the at least one proxy limit value allows the master MPC controller to honor the process variable constraints of the one or more slave MPC controllers during the plantwide optimization.

2. The method of claim 1, wherein receiving the at least one proxy limit value comprises receiving at least one proxy limit value that is based on one or more MPC models used by the one or more slave MPC controllers.

3. The method of claim 2, wherein:

the planning model identifies multiple units in the industrial facility and material flows between the units; and

each MPC model identifies multiple components of a single unit in the industrial facility, actuators used to control the multiple components of the single unit, and process controllers used to control the actuators.

4. The method of claim 1, wherein each proxy limit value identifies a maximum or minimum value obtainable for one process variable without violating any process variable constraints.

5. The method of claim 1, wherein the master MPC controller during the plantwide optimization generates a real-time planning solution within a closed-loop control system.

6. The method of claim 1, further comprising:

generating a graphical user interface identifying different portions of the industrial facility;

using the at least one proxy limit value to identify one or more bottlenecks within the industrial facility, each bottleneck associated with the slave MPC controller whose proxy limit value is constraining the plantwide optimization; and

displaying a first indicator in the graphical user interface for each portion of the industrial facility creating the one or more bottlenecks.

7. The method of claim 6, further comprising:

upon selection of one of the different portions of the industrial facility, displaying the MPC model associated with the selected portion of the industrial facility;

upon selection of a process controller within the MPC model, displaying a table showing controlled and manipulated variables associated with the selected process controller; and

displaying a second indicator in the graphical user interface for each controlled or manipulated variable that is constraining the plantwide optimization.

8. The method of claim 1, further comprising:

creating the planning model using multiple base models;

wherein a first type of base model models a processing unit in the industrial facility as one or more input feeds and one or more output feeds; and

wherein a second type of base model models a pool or storage tank.

9. The method of claim 1, wherein:

the industrial facility is used to produce multiple intermediate products during production of multiple final products using multiple feed products;

the master MPC controller is configured to generate contribution values and contribution costs for the one or more slave MPC controllers;

each contribution value is based on one intermediate product'"'"'s contribution to the final products; and

each contribution cost is based on one intermediate product'"'"'s production using the feed products.

10. The method of claim 1, wherein the master MPC controller sends optimization calls to multiple slave MPC controllers and receives proxy limit values from the multiple slave MPC controllers.

11. An apparatus comprising:

a master model predictive control (MPC) controller comprising;

at least one memory configured to store a planning model for an industrial facility;

at least one network interface configured to communicate with one or more slave MPC controllers; and

at least one processing device configured to;

initiate transmission of at least one optimization call to the one or more slave MPC controllers;

receive at least one proxy limit value from the one or more slave MPC controllers in response to the at least one optimization call, wherein the at least one proxy limit value identifies to what extent one or more process variables controlled by the one or more slave MPC controllers are adjustable without violating any process variable constraints; and

perform plantwide optimization using the planning model and the at least one proxy limit value, wherein the at least one processing device is configured to honor the process variable constraints of the one or more slave MPC controllers during the plantwide optimization using the at least one proxy limit value.

12. The apparatus of claim 11, wherein the at least one proxy limit value is based on one or more MPC models used by the one or more slave MPC controllers.

13. The apparatus of claim 11, wherein the planning model identifies multiple units in the industrial facility and material flows between the units.

14. The apparatus of claim 11, wherein each proxy limit value identifies a maximum or minimum value obtainable for one process variable without violating any process variable constraints.

15. The apparatus of claim 11, wherein the at least one processing device is further configured to:

generate a graphical user interface identifying different portions of the industrial facility;

use the at least one proxy limit value to identify one or more bottlenecks within the industrial facility, each bottleneck associated with the slave MPC controller whose proxy limit value is constraining the plantwide optimization; and

display a first indicator in the graphical user interface for each portion of the industrial facility creating the one or more bottlenecks.

16. The apparatus of claim 15, wherein the at least one processing device is further configured to:

upon selection of one of the different portions of the industrial facility, display the MPC model associated with the selected portion of the industrial facility;

upon selection of a process controller within the MPC model, display a table showing controlled and manipulated variables associated with the selected process controller; and

display a second indicator in the graphical user interface for each controlled or manipulated variable that is constraining the plantwide optimization.

17. A non-transitory computer readable medium embodying a computer program, the computer program comprising computer readable program code for:

obtaining a planning model for an industrial facility at a master model predictive control (MPC) controller;

sending at least one optimization call from the master MPC controller to one or more slave MPC controllers;

receiving at least one proxy limit value from the one or more slave MPC controllers at the master MPC controller in response to the at least one optimization call, wherein the at least one proxy limit value identifies to what extent one or more process variables controlled by the one or more slave MPC controllers are adjustable without violating any process variable constraints; and

performing plantwide optimization at the master MPC controller using the planning model and the at least one proxy limit value, wherein the at least one proxy limit value allows the master MPC controller to honor the process variable constraints of the one or more slave MPC controllers during the plantwide optimization.

18. The computer readable medium of claim 17, wherein:

the planning model identifies multiple units in the industrial facility and material flows between the units; and

each proxy limit value identifies a maximum or minimum value obtainable for one process variable without violating any process variable constraints.

19. The computer readable medium of claim 17, wherein the computer program further comprises computer readable program code for:

generating a graphical user interface identifying different portions of the industrial facility;

using the at least one proxy limit value to identify one or more bottlenecks within the industrial facility, each bottleneck associated with the slave MPC controller whose proxy limit value is constraining the plantwide optimization; and

displaying a first indicator in the graphical user interface for each portion of the industrial facility creating the one or more bottlenecks.

20. The computer readable medium of claim 19, wherein the computer program further comprises computer readable program code for:

upon selection of one of the different portions of the industrial facility, displaying the MPC model associated with the selected portion of the industrial facility;

upon selection of a process controller within the MPC model, displaying a table showing controlled and manipulated variables associated with the selected process controller; and

displaying a second indicator in the graphical user interface for each controlled or manipulated variable that is constraining the plantwide optimization.