Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors - a data-driven approach

In this paper, a purely data-driven modelling approach is presented for predicting and controlling the free bending angle response of a typical soft pneumatic actuator (SPA), embedded with a resistive flex sensor. An experimental setup was constructed to test the SPA at different input pressure valu...

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Bibliographic Details
Main Authors: Khaled Elgeneidy, Niels Lohse, Michael R. Jackson
Format: Default Article
Published: 2017
Subjects:
Mechanical engineering not elsewhere classified
Soft grippers
Soft pneumatic actuators
Artificial neural networks
Regression analysis
PID control
Mechanical Engineering not elsewhere classified
Mechanical Engineering
Online Access:https://hdl.handle.net/2134/27135
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