Please use this identifier to cite or link to this item: doi:10.22028/D291-30873
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Title: Design and Validation of a Reconfigurable Robotic End-Effector Based on Shape Memory Alloys
Author(s): Motzki, Paul
Khelfa, Frank
Zimmer, Lukas
Schmidt, Marvin
Seelecke, Stefan
Language: English
Title: IEEE ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division
Volume: 24
Issue: 1
Startpage: 293
Endpage: 303
Publisher/Platform: IEEE
Year of Publication: 2019
Publikation type: Journal Article
Abstract: Thermal shape memory alloy (SMA) actuators are known for their superior energy density (force-volume ratio) compared to other actuation principles, allowing the construction of lightweight and compact systems. Furthermore, SMA actuators can be used as sensors, as their electrical resistance changes during activation. Using this multifunctionality, this work aims at presenting the development, fabrication, and validation of an SMA-driven robotic end-effector. The end-effector prototype is designed in a modular concept and consists of four independent arms with two degrees of freedom (DOF). Each arm can rotate in-plane and also tilt out-of-plane to allow gripping of various workpiece geometries. Both DOF actuator components consist of an SMA wire working against a tension spring. The tilting joint has an additional mechanism that creates two energy-free rest positions to improve energy efficiency. The end-effector is designed to carry a maximum load of 10 kg. In a test bench for the validation of the SMA-driven end-effector joints, hall sensors are used to measure the gripping arm displacement. In addition, the resistance of the SMA wires is monitored during activation. The dynamic system performance is analyzed using different activation current levels. Finally, a proportional integral (PI) control with Hall sensor feedback is implemented to position the first DOF at arbitrary angles within its 90° rotation radius.
DOI of the first publication: 10.1109/TMECH.2019.2891348
URL of the first publication:
Link to this record: hdl:20.500.11880/29097
ISSN: 1083-4435
Date of registration: 7-May-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:Die Universitätsbibliographie

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