High-Bandwidth Hysteresis Compensation of Piezoelectric Actuators via Multilayer Feedforward Neural Network Based Inverse Hysteresis Modeling

High-Bandwidth Hysteresis Compensation of Piezoelectric Actuators via Multilayer Feedforward Neural Network Based Inverse Hysteresis Modeling

This paper proposes a feedforward and feedback combined hysteresis compensation method for a piezoelectric actuator (PEA) based on the multi-layer feedforward neural network (MFNN) inverse model. Under the scheme of direct inverse modeling, the MFNN is utilized as the feedforward hysteresis compensa...

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Bibliographic Details
Main Authors: Yanding Qin, Yunpeng Zhang, Heng Duan, Jianda Han
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Micromachines
Subjects:
piezoelectric actuator
hysteresis compensation
neural network
inverse modeling
rate-dependent
Online Access:https://www.mdpi.com/2072-666X/12/11/1325

Internet

https://www.mdpi.com/2072-666X/12/11/1325

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