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:
Dec. 04, 2018

Filed:

Mar. 14, 2014
Applicant:

United Technologies Corporation, Farmington, CT (US);

Inventors:

Boris Karpman, Marlborough, CT (US);

Thomas Niemczycki, East Hartford, CT (US);

Ian Michael Dinsmore, Vernon, CT (US);

David Sembiante, Betheny, CT (US);

Robert H. Luppold, West Newton, PA (US);

Assignee:

UNITED TECHNOLOGIES CORPORATION, Farmington, CT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 17/02 (2006.01); F02C 7/26 (2006.01); F02C 3/04 (2006.01); F02C 9/16 (2006.01); F02C 9/20 (2006.01); F04D 29/32 (2006.01); G05B 13/04 (2006.01); G05B 23/02 (2006.01); G05D 7/06 (2006.01); F01D 21/00 (2006.01);
U.S. Cl.
CPC ...
F02C 7/26 (2013.01); F01D 21/003 (2013.01); F02C 3/04 (2013.01); F02C 9/16 (2013.01); F02C 9/20 (2013.01); F04D 29/321 (2013.01); F04D 29/325 (2013.01); G05B 13/04 (2013.01); G05B 17/02 (2013.01); G05B 23/0254 (2013.01); G05D 7/0629 (2013.01); F05D 2220/32 (2013.01); F05D 2240/35 (2013.01); F05D 2260/81 (2013.01); F05D 2260/85 (2013.01);
Abstract

Systems and methods for controlling a fluid based engineering system are disclosed. The systems and methods may include a model processor for generating a model output, the model processor including a set state module for setting dynamic states of the model processor, the dynamic states input to an open loop model based on the model operating mode, the model generates current state derivatives and synthesized parameters as a function of the dynamic states and the model input, wherein a constraint on the current state derivatives is based a series of modules, each member of the series of modules arranged in at least a primary stream group and a secondary stream group corresponding to a component of the system. The model processor may further include an estimate state module for determining an estimated state of the model.


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