Linearization Identification Method for Hysteresis Model of Piezoceramics Based on Koopman Operators

Patent №

US 11,630,929

Granted

2023-04-18

Filed 2020

Owner

HARBIN INSTITUTE OF TECHNOLOGY

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17079428

The disclosure provides a linearization identification method for a hysteresis model of piezoceramics based on Koopman operators, and belongs to the field of precision positioning. In order to solve the problem of hysteresis of a piezoelectric actuator in practical application, the disclosure further provides the linearization identification method for the hysteresis model of the piezoceramics based on Koopman operators. The method of the disclosure includes: Step I, building a structure of the hysteresis model of the piezoceramics; Step II, determining parameters of the hysteresis model of the piezoceramics; Step III, obtaining a great amount of simulation data by using simulation software; Step IV, performing deep learning training based on Koopman operators; and Step V, determining a linearization model for the hysteresis model of the piezoceramics based on Koopman operators. The disclosure is applicable to piezoelectric actuator control and precision positioning.

Machine learningVisionPlanningAI hardwareG06F 30/20G06F 30/27G06N 3/045G06N 3/0455G06N 3/08G06N 3/088G06F 2111/10

AI classification

Machine learning1.00
AI hardware1.00
Planning1.00
Vision1.00
Speech0.23
Knowledge representation0.08
Natural language0.01
Evolutionary computation0.00

Ownership

HARBIN INSTITUTE OF TECHNOLOGY

assignment · 541570990

Assignors

ZHAO, BO, QI, XUE, SHI, WEIJIA, TAN, JIUBIN

On an employer assignment, the assignors are typically the inventors.

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