Revision and Comparative Study with Experimental Validation of Sliding Mode Control Approaches Using Artificial Neural Networks for Positioning Piezoelectric Actuator

Revision and Comparative Study with Experimental Validation of Sliding Mode Control Approaches Using Artificial Neural Networks for Positioning Piezoelectric Actuator

Piezoelectric actuators are commonly used in high precision, micro-displacement applications. However, nonlinear phenomena, like hysteresis, may reduce their performance. This article compares several control approaches—based on the combination of sliding mode control and artificial neural networks—...

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Bibliographic Details
Main Authors: Cristian Napole, Oscar Barambones, Jokin Uralde, Isidro Calvo, Eneko Artetxe, Asier del Rio
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
piezoelectric actuator
hysteresis
sliding mode control
artificial neural networks
Online Access:https://www.mdpi.com/2227-7390/13/12/1952
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