Single-Neuron Adaptive Hysteresis Compensation of Piezoelectric Actuator Based on Hebb Learning Rules

Single-Neuron Adaptive Hysteresis Compensation of Piezoelectric Actuator Based on Hebb Learning Rules

This paper presents an adaptive hysteresis compensation approach for a piezoelectric actuator (PEA) using single-neuron adaptive control. For a given desired trajectory, the control input to the PEA is dynamically adjusted by the error between the actual and desired trajectories using Hebb learning...

Full description

Bibliographic Details
Main Authors: Yanding Qin, Heng Duan
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Micromachines
Subjects:
piezoelectric actuator
hysteresis compensation
single-neuron adaptive control
hebb learning rules
supervised learning
Online Access:https://www.mdpi.com/2072-666X/11/1/84

Similar Items

Similar Items