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Control of Shape Memory Alloy Actuator via Electrostatic Capacitive Sensor for Meso-scale Mirror Tilting System
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Publication Year
2023-01-01
Journal
Proceedings - IEEE International Conference on Robotics and Automation
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings - IEEE International Conference on Robotics and Automation, Vol.2023-May, pp.2634-2640
Mesh Keyword
Actuation capabilityArtificial muscle actuatorControl of shapeDesign-processDisplacement sensingFabrication processMeso scaleModel-based designShape memory alloy actuatorsTheoretical modeling
All Science Classification Codes (ASJC)
SoftwareControl and Systems EngineeringElectrical and Electronic EngineeringArtificial Intelligence
Abstract
Shape memory alloy (SMA) has superior actuation capability over the limit of the scale. However, inherently low controllability is a primary issue that hinders practical usage. To address this challenge, this paper presents an SMA-based artificial muscle actuator capable of the displacement sensing through the capacitive sensor. To realize sensing capability, the theoretical model-based design and fabrication process are proposed. Here, we show that the actuator can be controlled at intervals of 100 μm as well as maintaining sensing capability while lifting 90 times heavier than its weight. To exhibit the usefulness of the actuator to an optical device, we integrate the actuator into the mirror tilting device, which has 20 degrees tilting angle. We expect that the proposed actuator can overcome the scale limit of meso-scale devices, which require payload capacity and controllability, simultaneously.
ISSN
1050-4729
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36957
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85168686447&origin=inward
DOI
https://doi.org/10.1109/icra48891.2023.10160710
Type
Conference
Funding
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF-2021R1C1C1011872). (Corresponding author: Uikyum Kim and Je-sung Koh) 1The authors are with the Multiscale Bio-inspired Technology Lab, Mechanical Engineering, Ajou University, Suwon, Korea www7541@ajou.ac.kr; sktd4@ajou.ac.kr; rlaehdwlswt@ajou.ac.kr; sy84han@ajou.ac.kr; dskang@ajou.ac.kr; ukim@ajou.ac.kr; jskoh@ajou.ac.kr
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Han, Seung Yong Image
Han, Seung Yong한승용
Department of Mechanical Engineering
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