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:
Jun. 28, 2016

Filed:

Jun. 09, 2014
Applicant:

The Board of Trustees of the University of Alabama, Tuscaloosa, AL (US);

Inventor:

Shuhui Li, Northport, AL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02M 5/45 (2006.01); H02J 3/00 (2006.01); H02M 7/5387 (2007.01);
U.S. Cl.
CPC ...
H02J 3/00 (2013.01); H02M 7/53875 (2013.01); H02M 2007/53876 (2013.01); Y10T 307/549 (2015.04);
Abstract

Systems and methods for performing vector control of grid-connected power electronic converters using a neural network are described herein. Optionally, the grid-connected power electronic converters can be used in renewable and electric power system applications. In order to improve performance and stability under disturbance conditions, integrals of error signals can be introduced as inputs to the neural network. Alternatively or additionally, grid disturbance voltage can be introduced to an output of a trained neural network.


Find Patent Forward Citations

Li, Shuhui. (2016). Vector control of grid-connected power electronic converter using artificial neural networks (U.S. Patent No. 9379546). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/9379546

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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