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...
| Published in: | Energies |
|---|---|
| Main Authors: | Cristian Napole, Oscar Barambones, Isidro Calvo, Javier Velasco |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-08-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/15/3929 |
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