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:
Jan. 21, 2020

Filed:

Feb. 20, 2018
Applicant:

United Technologies Corporation, Farmington, CT (US);

Inventors:

Boris Karpman, Marlborough, CT (US);

Richard P. Meisner, Glastonbury, CT (US);

Manuj Dhingra, Wilmington, DE (US);

Assignee:

UNITED TECHNOLOGIES CORPORATION, Farmington, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F02C 7/26 (2006.01); F01D 21/00 (2006.01); G05D 7/06 (2006.01); G05B 23/02 (2006.01); G05B 17/02 (2006.01); G05B 13/04 (2006.01); F04D 29/32 (2006.01); F02C 9/20 (2006.01); F02C 9/26 (2006.01); F02C 3/04 (2006.01); F02C 9/16 (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 configured to generate 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 a model operating mode. The model processor may further include an estimate state module configured to determine an estimated state of the model based on at least one of a prior state, current state derivatives, solver state errors, and synthesized parameters, the estimate state module using online linearization and gain calculation to determine estimator gain for determining the estimated state of the model.


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