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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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