Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules

Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules

This paper presents a deep analysis of different feed-forward (FF) techniques combined with two different proportional-integral-derivative (PID) control to guide a real piezoelectric actuator (PEA). These devices are well known for a non-linear effect called “hysteresis” which generates an undesirab...

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Bibliographic Details
Main Authors: Cristian Napole, Oscar Barambones, Isidro Calvo, Javier Velasco
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
piezoelectric
hysteresis
control systems
precise position
feed-forward
Online Access:https://www.mdpi.com/1996-1073/13/15/3929

Internet

https://www.mdpi.com/1996-1073/13/15/3929

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