Robotik-Materialien Conference Paper 2018

System identification and closed-loop control of a hydraulically amplified self-healing electrostatic (HASEL) actuator

Thumb ticker sm keplinger christoph geringauflo  send
Robotik-Materialien, Physische Intelligenz
Managing Director

This paper describes a system identification method and the development of a closed-loop controller for a Hydraulically Amplified Self-healing Electrostatic (HASEL) actuator. Our efforts focus on developing a reliable and consistent way to identify system models for these soft robotic actuators using high-speed videography based motion tracking. Utilizing a mass-spring-damper model we are able to accurately capture the behavior of a HASEL actuator. We use the resulting plant model to design a Proportional-Integral controller that demonstrates improved closed-loop tracking and steady-state error performance.

Author(s): Cosima Schunk and Levi Pearson and Eric Acome and Timothy G Morrissey and Nikolaus Correll and Christoph Keplinger and Mark E Rentschler and J Sean Humbert
Book Title: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
Pages: 6417--6423
Year: 2018
Month: October
Publisher: IEEE
Bibtex Type: Conference Paper (inproceedings)
Address: Piscataway, NJ
DOI: 10.1109/IROS.2018.8593797
Event Name: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
Event Place: Madrid
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8593797
Electronic Archiving: grant_archive
Institution: IEEE
ISBN: 978-1-5386-8094-0

BibTex

@inproceedings{Keplinger18-Conf-SelfHealing,
  title = {System identification and closed-loop control of a hydraulically amplified self-healing electrostatic (HASEL) actuator},
  booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)},
  abstract = {This paper describes a system identification method and the development of a closed-loop controller for a Hydraulically Amplified Self-healing Electrostatic (HASEL) actuator. Our efforts focus on developing a reliable and consistent way to identify system models for these soft robotic actuators using high-speed videography based motion tracking. Utilizing a mass-spring-damper model we are able to accurately capture the behavior of a HASEL actuator. We use the resulting plant model to design a Proportional-Integral controller that demonstrates improved closed-loop tracking and steady-state error performance.},
  pages = {6417--6423},
  publisher = {IEEE},
  institution = {IEEE},
  address = {Piscataway, NJ},
  month = oct,
  year = {2018},
  slug = {keplinger18-conf-selfhealing},
  author = {Schunk, Cosima and Pearson, Levi and Acome, Eric and Morrissey, Timothy G and Correll, Nikolaus and Keplinger, Christoph and Rentschler, Mark E and Humbert, J Sean},
  url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8593797},
  month_numeric = {10}
}