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:
Aug. 08, 2023

Filed:

Oct. 26, 2018
Applicant:

South China University of Technology, Guangzhou, CN;

Inventors:

Zhijun Zhang, Guangzhou, CN;

Lu'nan Zheng, Guangzhou, CN;

Dongyu Ji, Guangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 5/00 (2006.01); B64C 39/02 (2023.01); G05D 1/08 (2006.01); G05D 1/00 (2006.01); B64U 30/20 (2023.01); B64U 101/00 (2023.01);
U.S. Cl.
CPC ...
G08G 5/003 (2013.01); B64C 39/024 (2013.01); G05D 1/0088 (2013.01); G05D 1/0816 (2013.01); B64U 30/20 (2023.01); B64U 2101/00 (2023.01);
Abstract

Disclosed is a method for controlling stable flight of an unmanned aircraft, comprising the following steps: acquiring real-time flight operation data of the aircraft itself by means of an attitude sensor, a position sensor and an altitude sensor mounted to the unmanned aircraft, performing corresponding analysis on a kinematic problem of the aircraft by a processor mounted thereto, and establishing a dynamics model of the aircraft (S1); designing a controller of the unmanned aircraft according to a multi-layer zeroing neurodynamic method (S2); solving output control quantities of motors of the aircraft by the designed multi-layer zeroing neural network controller using the acquired real-time operation data of the aircraft and target attitude data (S3); and transferring solution results to a motor governor of the aircraft, and controlling powers of the motors according to a relationship between the control quantities solved by the controller and the powers of the motors of the multi-rotor unmanned aircraft, so as to control the motion of the unmanned aircraft (S4). Based on the multi-layer zeroing neurodynamic method, a correct solution to the problem can be approached rapidly, accurately and in real time, and a time-varying problem can be significantly solved.


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