Citation:
Copaci, D., Moreno, L. & Blanco, D. (2019). Two-Stage Shape Memory Alloy Identification Based on the Hammerstein–Wiener Model. Frontiers in Robotics and AI, 6:83.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Comunidad de Madrid Ministerio de Ciencia e Innovación (España)
Sponsor:
The research leading to these results has received funding from the Exoesqueleto para Diagnostico y Asistencia en Tareas de Manipulación (DPI2016-75346-R) Spanish research project and from RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by Programas de Actividades I + D en la Comunidad de Madrid and cofunded by Structural Funds of the EU.
Project:
Gobierno de España. DPI2016-75346-R Comunidad de Madrid. S2018/NMT-4331
from the two stages was obtained for a specific shape memory alloy wire and for specific environmental conditions. This data was used in the modeling process. The final model consists of a combination of the models from the two stages, which represent the behafrom the two stages was obtained for a specific shape memory alloy wire and for specific environmental conditions. This data was used in the modeling process. The final model consists of a combination of the models from the two stages, which represent the behavior of the shape memory alloy actuator where the input signal is the pulse-width modulation signal and the output signal are the position of the actuator. Our results indicate that our model has a very similar response to the behavior of the real actuator. This model can be used to tune different control algorithms, simulate the entry system before manufacture and test on real devices.[+][-]