Design and control of a 3-chambered fiber reinforced soft actuator with off-the-shelf stretch sensors

Design and control of a 3-chambered fiber reinforced soft actuator with off-the-shelf stretch... The necessity for efficient control of soft actuators has recently resulted in the development of complex physical models that are actuator geometry and material type dependent. In this paper, we address the ability to do closed-loop control with a simplified model independent of material properties and material characteristics of a soft robotic system. We demonstrate this by using a P-controller on a new 3-chambered, fiber-reinforced elastomeric actuator (3CA) that utilizes off-the-shelf stretch sensors. A motion capture system is used to calibrate and generate two different quasi-static models (a general linear regression model and an input dependent model) that map the varying chamber pressure readings with the actuator’s end effector position, effectively represented by the stretch sensor curvature. Simulations using a closed-loop controller, with both models, provide further insight on the quality of the models and corresponding control performance. We use this information in an experimental study that yields comparable performances to the simulated results. Moreover, we demonstrate that the input-dependent model based controller can provide better results than that of the general model based controller. Finally, we demonstrate that our soft actuator can be closed-loop controlled with off-the-shelf stretch sensors with repeatable results. This opens a way to design new control concepts for multi-chambered actuators that can produce more complex motions in the future. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Intelligent Robotics and Applications Springer Journals

Design and control of a 3-chambered fiber reinforced soft actuator with off-the-shelf stretch sensors

Loading next page...
 
/lp/springer_journal/design-and-control-of-a-3-chambered-fiber-reinforced-soft-actuator-VZyuwtbYSK
Publisher
Springer Singapore
Copyright
Copyright © 2017 by Springer Singapore
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics; User Interfaces and Human Computer Interaction; Manufacturing, Machines, Tools; Electronics and Microelectronics, Instrumentation
ISSN
2366-5971
eISSN
2366-598X
D.O.I.
10.1007/s41315-017-0020-z
Publisher site
See Article on Publisher Site

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial