The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 04, 2025

Filed:

Aug. 10, 2022
Applicant:

Corning Incorporated, Corning, NY (US);

Inventors:

Christelle Ruby Barnard, Painted Post, NY (US);

Eric Michael Gross, Corning, NY (US);

Joseph Michael Matusick, Corning, NY (US);

Kevin Patrick Mcnelis, Elmira, NY (US);

Connor Thomas O'Malley, Painted Post, NY (US);

Assignee:

Corning Incorporated, Corning, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
C03B 23/08 (2006.01); C03B 23/045 (2006.01); C03B 23/09 (2006.01); G05B 19/4155 (2006.01);
U.S. Cl.
CPC ...
C03B 23/08 (2013.01); C03B 23/045 (2013.01); C03B 23/09 (2013.01); G05B 19/4155 (2013.01); G05B 2219/45009 (2013.01);
Abstract

Methods for providing feedback control of converters for converting glass tubes to glass articles include a model predictive control framework. The methods include operating the converter, providing target values for attributes of the glass articles or glass tubes, measuring the attributes for the glass articles and glass tubes, conditioning the measurement data to remove outlier data points and calculating statistics representative of the measured attributes, and determine updated settings for one or more process parameters from the previous settings, the statistical properties, and the target values, where the updated settings are those that minimize an objective control function for the converter. The methods further include adjusting the process parameters to the updated settings. The model predictive control framework enables feedback control of the converter that compensates for disturbances that act on the process.


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