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:
Sep. 27, 2022

Filed:

Jun. 15, 2018
Applicant:

Dalian University of Technology, Dalian, CN;

Inventors:

Xian Du, Dalian, CN;

Yanhua Ma, Dalian, CN;

Ximing Sun, Dalian, CN;

Zhimin Wang, Dalian, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F02C 9/00 (2006.01); F02C 9/28 (2006.01); G05B 17/02 (2006.01); G06F 17/16 (2006.01); B64D 31/06 (2006.01); G06F 30/15 (2020.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
F02C 9/28 (2013.01); B64D 31/06 (2013.01); G05B 17/02 (2013.01); G06F 17/16 (2013.01); G06F 30/15 (2020.01); F05D 2220/323 (2013.01); F05D 2270/44 (2013.01); G06F 2111/10 (2020.01);
Abstract

A design method of aero-engine on-line optimization and multivariable control based on model prediction control realizes aero-engine multivariable control and on-line optimization according to thrust, rotational speed and other needs under the condition of meeting constraints. The first part is a prediction model acquisition layer that continuously establishes a small deviation linear model of an aero-engine near different steady state points based on the actual operating state of the aero-engine in each control cycle and external environment parameters and that supplies model parameters to a controller; and the second part is a control law decision-making layer which is a closed loop structure that consists of a model prediction controller and an external output feedback. The model prediction controller determines the output of the controller at next moment by solving a linear optimization problem according to an engine model in the current state, a control instruction and relevant constraints.


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