Technique to improve paper machine cross-directional model predictive control performance by creating a measurement profile reference trajectory

Patent metadata

Field	Value
Publication number	US-10174456-B2
Application number	US-201615273702-A
Country	US
Kind code	B2
Filing date	Sep 23, 2016
Priority date	Sep 23, 2016
Publication date	Jan 8, 2019
Grant date	Jan 8, 2019

Abstract

Controlling a multiple-array, sheetmaking cross-directional process with a multivariable model predictive controller (MPC) employs a cost function incorporating a prediction horizon. The MPC provides a measurement profile target reference trajectory over the prediction horizon of the MPC cost function. Improved CD-MPC performance is achieved by employing a measurement profile target reference trajectory over the prediction horizon in the MPC cost function. A series of target profiles creates a reference trajectory to bring the cross-direction measurements smoothly from their current profile to the final target. By carefully designing the reference trajectory, the CD-MPC exhibits a good measurement response without aggressive control action. The current measurement target profile can be filtered through a first order plus deadtime process at each controller update and repeating the filter operation once for each step of the MPC prediction horizon generates a full reference trajectory for the profile.

First claim

What is claimed is:

1. A system which forms a material in a spatially-distributed multivariable-array cross-directional process wherein the system comprises: at least one set of actuator arrays each distributed adjacent to the material in the cross direction (CD), wherein each set of actuator arrays is controllable to vary the properties of the material; means for measuring and acquiring data about the properties of the material and generating a cross-directional measurement, and a multivariable model predictive controller (MPC) for providing CD control to the cross-directional process, wherein the MPC employs a cost function incorporating a prediction horizon, wherein the MPC in response to signals that are indicative of the properties of the material, provides signals to the at least one set of actuator arrays to vary properties of the material, and wherein the MPC is configured to provide a measurement profile target reference trajectory over the prediction horizon of the MPC cost function wherein the MPC is configured to employ a series of target profiles over an entire prediction horizon thereby creating a reference trajectory to bring the cross-directional measurement smoothly from their current profile to a final target, wherein the MPC is configured to employ a model that generates an output estimate of the spatially-distributed multivariable-array cross-directional process and wherein the model is used to create a filter operation to determine how aggressively the MPC responds to changes in output target signals, wherein at each controller update, the current measurement target profile is filtered through a first order plus deadline process and repeating the filter operation once for each step in the prediction horizon generates a full reference trajectory for the measurement profile, and wherein the MPC is configured to spatially filter a reference profile error to remove uncontrollable spatial frequencies from an error profile.

2. The system of claim 1 wherein the filter is initialized to a current measurement profile so that the reference trajectory provides a smooth path from the current profile towards the final target profile.

3. The system of claim 1 wherein the filter operation tunes operations of the MPC.

4. The system of claim 1 wherein the MPC is configured to apply a weighting matrix on actuator bending and picketing to penalize high frequency actuator spatial variation.

5. The system of claim 1 wherein the MPC is configured to apply a bending moment matrix to penalize high frequency actuator spatial variation.

6. A method of controlling a spatially-distributed multiple-array, sheetmaking cross-directional (CD) process that forms a material and having at least one manipulated actuator array and at least one controlled measurement array that generates a cross-directional measurement, said method comprises employing a multivariable model predictive controller (MPC) which employs a cost function incorporating a prediction horizon, wherein the MPC in response to signals that are indicative of the properties of the material, provides signals to at least one set of actuator arrays to vary properties of the material, and wherein the MPC is configured to provide a measurement profile target reference trajectory over the prediction horizon of the MPC cost function wherein the MPC is configured to employ a series of target profiles over an entire prediction horizon thereby creating a reference trajectory to bring the cross-directional measurement smoothly from their current profile to a final target, wherein the MPC is configured to employ a model that generates an output estimate of the spatially-distributed multivariable-array cross-directional process and wherein the model is used to create a filter operation to determine how aggressively the MPC responds to changes in output target signals, wherein at each controller update, the current measurement target profile is filtered through a first order plus deadline process and repeating the filter operation once for each step in the prediction horizon generates a full reference trajectory for the measurement profile, and wherein the MPC is configured to spatially filter a reference profile error to remove uncontrollable spatial frequencies from an error profile.

7. The method of claim 6 wherein the filter is initialized to a current measurement profile so that the reference trajectory provides a smooth path from the current profile towards the final target profile.

8. The method of claim 6 wherein the filter operation tunes operations of the MPC.

9. The method of claim 6 wherein the MPC is configured to apply a weighting matrix
on actuator bending and picketing to penalize high frequency actuator spatial variation.

10. The method of claim 6 wherein the MPC is configured to apply a bending moment matrix to penalize high frequency actuator spatial variation.

11. A non-transitory computer readable medium embodying a computer program for tuning a model predictive controller (MPC) employed to control a cross-directional process that forms a material and having a manipulated actuator array comprising a plurality of actuators and at least one controlled measurement array that generates a cross-directional measurement and wherein the MPC employs a cost function incorporating a prediction horizon, wherein the MPC in response to signals that are indicative of the properties of the material, provides signals to the at least one set of actuator arrays to vary properties of the material, and wherein the MPC is configured to provide a measurement profile target reference trajectory over the prediction horizon of the MPC cost function, wherein the MPC employs a model that generates model output estimates and wherein the program comprises readable program code for: filtering the output target profile to determine how aggressively the MPC responds to changes in output target signals wherein the MPC is configured to employ a series of target profiles over an entire prediction horizon thereby creating a reference trajectory to bring the cross-directional measurement smoothly from their current profile to a final target, wherein the MPC is configured to employ a model that generates an output estimate of the spatially-distributed multivariable-array cross-directional process and wherein the model is used to create a filter operation to determine how aggressively the MPC responds to changes in output target signals, wherein at each controller update, the current measurement target profile is filtered through a first order plus deadline process and repeating the filter operation once for each step in the prediction horizon generates a full reference trajectory for the measurement profile, and wherein the MPC is configured to spatially filter a reference profile error to remove uncontrollable spatial frequencies from an error profile.

12. The non-transitory computer readable medium of claim 11 wherein the filter is initialized to a current measurement profile so that the reference trajectory provides a smooth path from the current profile towards the final target profile.

13. The non-transitory computer readable medium of claim 11 wherein the filter operation tunes operations of the MPC.

14. The non-transitory computer readable medium of claim 11 wherein the MPC is configured to apply a weighting matrix on actuator bending and picketing to penalize high frequency actuator spatial variation.

15. The non-transitory computer readable medium of claim 11 wherein the MPC is configured to apply a bending moment matrix to penalize high frequency actuator spatial variation.

Assignees

• Honeywell Ltd

Inventors

• Backstrom Johan
• Forbes Michael

Classifications

• G05B2219/40148

  Predict locally machining forces from model to control remote machine · CPC title

• G05B13/048 Primary

  using a predictor · CPC title

• D21G9/0027 Primary

  controlling the forming section · CPC title