A Three‐Phase Electrostatic Clutch with Variable Mechanical Impedance Control for Soft Robotic Systems
Source abstract
Abstract
Abstract Various studies have explored mechanical impedance control strategies in soft actuators to enhance stability and precision, as the nonlinear characteristics of soft materials frequently lead to unwanted oscillations. Among these approaches, electrostatic (ES) clutches have shown promise for achieving friction‐based mechanical impedance control; however, conventional ES clutches are limited by issues such as residual charge accumulation and stick‐slip behavior, which compromise force stability and reliability over time. To address these limitations, this study introduces a three‐phase ES clutch with variable mechanical impedance control, designed to enable continuous friction modulation and thereby reduce force degradation and oscillatory motion. Experimental validation was conducted through tensile tests and mechanical impedance applications in a vibration system. These findings suggest that the proposed three‐phase ES clutch offers a robust and adaptable solution for friction modulation and mechanical impedance in soft robotic and wearable systems, effectively addressing the key limitations of conventional ES clutch technology.
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Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Soft Robotics and Applications · Dielectric materials and actuators
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Electronics and Telecommunications Research Institute (ETRI) Daejeon 34129 South Korea
Dept of Mechanical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan 44919 South Korea
School of Mechanical Engineering Korea University Seoul 02841 South Korea
Funding
National Research Foundation of Korea · Ministry of Trade, Industry and Energy
References (58)
Show source-provided references
1. 10.1109/TIE.2022.318333410.1109/TIE.2022.3183334 ↗
2. 10.1007/s11071-018-4464-y10.1007/s11071-018-4464-y ↗
3. 10.1109/TII.2023.325844510.1109/TII.2023.3258445 ↗
4. 10.1109/TMECH.2018.287362010.1109/TMECH.2018.2873620 ↗
5. 10.1089/soro.2019.006510.1089/soro.2019.0065 ↗
6. 10.1109/TMECH.2022.315579010.1109/TMECH.2022.3155790 ↗
7. 10.1109/LRA.2022.315232610.1109/LRA.2022.3152326 ↗
8. 10.1109/TMECH.2015.250101910.1109/TMECH.2015.2501019 ↗
9. 10.1016/j.robot.2013.06.00910.1016/j.robot.2013.06.009 ↗
10. 10.1109/TIE.2022.322937110.1109/TIE.2022.3229371 ↗
11. 10.1088/1748-3190/ad0b8c10.1088/1748-3190/ad0b8c ↗
12. Jiang P. · Soft Rob. · 2024
13. 10.1016/j.ymssp.2021.10782210.1016/j.ymssp.2021.107822 ↗
14. 10.1109/TMECH.2014.234789810.1109/TMECH.2014.2347898 ↗
15. 10.1109/TIE.2021.306692610.1109/TIE.2021.3066926 ↗
16. 10.1016/j.conengprac.2016.03.01410.1016/j.conengprac.2016.03.014 ↗
17. 10.1109/LRA.2022.314787310.1109/LRA.2022.3147873 ↗
18. 10.1109/TMECH.2022.322244010.1109/TMECH.2022.3222440 ↗
19. 10.1109/LRA.2023.323866910.1109/LRA.2023.3238669 ↗
20. 10.1039/D2SM01390H10.1039/D2SM01390H ↗
21. 10.1021/acsami.1c1571810.1021/acsami.1c15718 ↗
22. 10.1109/LRA.2022.319487510.1109/LRA.2022.3194875 ↗
23. 10.1021/acsapm.3c0104810.1021/acsapm.3c01048 ↗
24. 10.1016/j.mechatronics.2022.10281910.1016/j.mechatronics.2022.102819 ↗
25. 10.1109/TMECH.2022.318357610.1109/TMECH.2022.3183576 ↗
26. 10.1126/scirobotics.adl030710.1126/scirobotics.adl0307 ↗
27. 10.1039/D1SM00618E10.1039/D1SM00618E ↗
28. 10.1088/0964-1726/24/11/11503310.1088/0964-1726/24/11/115033 ↗
29. 10.1002/adfm.20241298410.1002/adfm.202412984 ↗
30. 10.1109/TRO.2019.295686910.1109/TRO.2019.2956869 ↗
31. 10.1109/TMECH.2019.289348010.1109/TMECH.2019.2893480 ↗
32. 10.1126/scirobotics.abo217910.1126/scirobotics.abo2179 ↗
33. 10.1177/1045389X1879947410.1177/1045389X18799474 ↗
34. 10.1126/scirobotics.adj724610.1126/scirobotics.adj7246 ↗
35. 10.1002/admt.20190089510.1002/admt.201900895 ↗
36. 10.1002/aisy.20220017410.1002/aisy.202200174 ↗
37. 10.1109/TRO.2022.317249810.1109/TRO.2022.3172498 ↗
38. Xiong Q. · IEEE/ASME Trans. Mechatron. · 2025 · 1
39. 10.1109/IROS47612.2022.998209810.1109/IROS47612.2022.9982098 ↗
40. 10.1103/PhysRevLett.85.100010.1103/PhysRevLett.85.1000 ↗
41. 10.1088/1361-665X/ab79b510.1088/1361-665X/ab79b5 ↗
42. 10.1038/s41598-023-38872-610.1038/s41598-023-38872-6 ↗
43. 10.1016/j.eml.2022.10189210.1016/j.eml.2022.101892 ↗
44. 10.1088/0022-3727/49/41/41530410.1088/0022-3727/49/41/415304 ↗
45. 10.1186/s40648-017-0085-310.1186/s40648-017-0085-3 ↗
46. 10.1109/TOH.2016.255666010.1109/TOH.2016.2556660 ↗
47. 10.1109/TMRB.2022.321690610.1109/TMRB.2022.3216906 ↗
48. 10.1109/TMECH.2023.325992610.1109/TMECH.2023.3259926 ↗
49. 10.1038/s41570-019-0115-110.1038/s41570-019-0115-1 ↗
50. 10.1126/sciadv.abg759510.1126/sciadv.abg7595 ↗
51. Xu C. · ACS nano · 2019 · 13 · 2034
52. 10.1016/j.mattod.2019.05.01610.1016/j.mattod.2019.05.016 ↗
53. 10.1016/S0924-4247(01)00870-610.1016/S0924-4247(01)00870-6 ↗
54. Kanno S. · J. Vacuum Sci. Technol. B: Microelectron. Nanometer Struct. Proc., Measur., Phenomena · 2003 · 21 · 237110.1116/1.1620517 ↗
55. Singh J. · 2016 · 327
56. 10.1016/j.eml.2023.10206210.1016/j.eml.2023.102062 ↗
57. 10.1002/adfm.20241509910.1002/adfm.202415099 ↗
58. 10.1109/LRA.2024.336080810.1109/LRA.2024.3360808 ↗