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. 20, 2024

Filed:

Nov. 10, 2020
Applicant:

Guangzhou University, Guangdong, CN;

Inventors:

Yunshan Wei, Guangzhou, CN;

Yingyu Chen, Guangzhou, CN;

Zhijia Zhao, Guangzhou, CN;

Qingyuan Xu, Guangzhou, IN;

Kai Wan, Guangzhou, CN;

Assignee:

Guangzhou University, Guangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02N 2/00 (2006.01);
U.S. Cl.
CPC ...
H02N 2/0075 (2013.01); H02N 2/001 (2013.01);
Abstract

An iterative learning-based energy-saving control method for a piezoelectric motor, comprising: setting a sampling period of a piezoelectric motor (); obtaining an expected output trajectory of the piezoelectric motor, and performing sampling according to the sampling period to obtain a sampled expected output sequence (); setting an initial control input signal of the piezoelectric motor (); obtaining an actual control input signal according to a mapping relation of the initial control input signal, and transmitting the actual control input signal to the piezoelectric motor to obtain an actual output position (); obtaining a mapping relation of the output position of the piezoelectric motor according to the actual output position, and sampling the mapping relation according to the sampling period to obtain a sampled actual output sequence (); calculating the difference between the sampled expected output sequence and the sampled actual output sequence to obtain a sampling error function sequence (); obtaining an iterative learning gain parameter by calculation according to a preset convergence condition (); and obtaining, by calculation according to the sampling error function sequence and the iterative learning gain parameter, an iterative input voltage required by iteration of the piezoelectric motor, and transmitting the iterative input voltage to the piezoelectric motor ().


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