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:
May. 03, 2016

Filed:

Sep. 10, 2012
Applicants:

Eugene Boe, Austin, TX (US);

Stephen Piche, Austin, TX (US);

Gregory D. Martin, Georgetown, TX (US);

Inventors:

Eugene Boe, Austin, TX (US);

Stephen Piche, Austin, TX (US);

Gregory D. Martin, Georgetown, TX (US);

Assignee:

Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 9/02 (2006.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G05B 17/02 (2006.01);
U.S. Cl.
CPC ...
G05B 13/027 (2013.01); G05B 13/042 (2013.01); G05B 13/048 (2013.01); G05B 17/02 (2013.01);
Abstract

A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model () and an independent dynamic model (). The static model () is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model () is trained over a narrow range of data. The gain K of the static model () is utilized to scale the gain k of the dynamic model (). The forced dynamic portion of the model () referred to as the bvariables are scaled by the ratio of the gains K and k. Thereafter, the difference between the new value input to the static model () and the prior steady-state value is utilized as an input to the dynamic model (). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.


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