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.
Patent No.:
Date of Patent:
Jan. 27, 2026
Filed:
May. 24, 2021
Nanjing University of Aeronautics and Astronautics, Jiangsu, CN;
Jinquan Huang, Jiangsu, CN;
Jie Tang, Jiangsu, CN;
Feng Lu, Jiangsu, CN;
Xiaojie Chou, Jiangsu, CN;
Yahui Gao, Jiangsu, CN;
Haiqin Qin, Jiangsu, CN;
NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS, Jiangsu, CN;
Abstract
The present invention discloses a neural network-based NARMA-L2 multivariable control method, which includes: deriving a NARMA-L2 multivariable control law of a nonlinear discrete system; using neural networks to offline identify nonlinear functions in the control law; designing the controller with the control law, designing a closed-loop control system for a certain type of turbofan engine, and adding the function of making the online update of neural network errors on the basis of this to correct the controller parameters, and studying the tracking performance of the control system. Aimed to minimize the quadratic performance index for the errors of the engine's high-pressure rotating speed and pressure ratio, by using neural networks in combination with the deduced NARMA-L2 multivariable control law, the present invention has designed a dual-variable controller, calculated the engine's control variables and controlled the fuel flow of the engine and the critical interface area of the exhaust nozzle.