Please use this identifier to cite or link to this item: doi:10.22028/D291-29778
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Title: Simultaneous Self-Sensing of Displacement and Force for Soft Dielectric Elastomer Actuators
Author(s): Rizzello, Gianluca
Fugaro, Federica
Naso, David
Seelecke, Stefan
Language: English
Title: IEEE robotics and automation letters
Volume: 3
Issue: 2
Startpage: 1230
Endpage: 1236
Publisher/Platform: IEEE
Year of Publication: 2018
Publikation type: Journal Article
Abstract: This paper presents a novel self-sensing method for soft actuators based on dielectric elastomer (DE) membranes. The proposed self-sensing scheme permits the reconstruction of both membrane force and displacement during actuation, based on voltage and current measurements only. The simultaneous self-sensing of displacement and force allows one to implement interaction control strategies without the need for additional electro-mechanical transducers. To achieve this goal, an online estimation algorithm based on recursive least squares is implemented to reconstruct the membrane capacitance from voltage and current measurements. Subsequently, mathematical models are developed to relate the capacitance to membrane displacement and force. Several modeling approaches are compared, ranging from physics-based to black box ones (i.e., Hammerstein-Wiener models and neural networks), in order to evaluate which strategy maximizes the estimation accuracy. After discussing the complete self-sensing algorithm, experimental validation is performed on a prototype consisting of a cone DE membrane.
DOI of the first publication: 10.1109/LRA.2018.2795016
URL of the first publication:
Link to this record: hdl:20.500.11880/28184
ISSN: 2377-3766
Date of registration: 24-Oct-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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