Dynamic modeling and motion control of a soft robotic arm segment

Zhi Qiao, Pham H. Nguyen, Panagiotis Polygerinos, Wenlong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Soft robotics has shown great potential in manipulation and human-robot interaction due to its compliant nature. However, soft systems usually have a large degree of freedom and strong nonlinearities, which pose significant challenges for precise modeling and control. In this paper, a linear parameter-varying (LPV) model is developed to describe the dynamics of a soft robotic arm segment. Given the different actuation mechanisms, the LPV models for elongation and bending motions are identified through experimental data. A state-feedback H{infty} controller is designed for the LPV model using a linear matrix inequality (LMI). Simulation of the state-feedback controller indicates that the closed-loop system is stable but with steady-state errors. As a result, an iterative learning control (ILC) with P-type learning function is implemented to improve the tracking performance. Simulation results of the ILC+state-feedback controller show steady-state errors are significantly reduced with iterations. The ILCs+state-feedback controller successfully moves the soft robotic arm segment to its desired position within several iterations in experiments.

Original languageEnglish (US)
Title of host publication2019 American Control Conference, ACC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5438-5443
Number of pages6
ISBN (Electronic)9781538679265
StatePublished - Jul 1 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: Jul 10 2019Jul 12 2019

Publication series

NameProceedings of the American Control Conference
Volume2019-July
ISSN (Print)0743-1619

Conference

Conference2019 American Control Conference, ACC 2019
CountryUnited States
CityPhiladelphia
Period7/10/197/12/19

Fingerprint

Robotic arms
Motion control
State feedback
Controllers
Human robot interaction
Linear matrix inequalities
Closed loop systems
Elongation
Robotics
Experiments

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Qiao, Z., Nguyen, P. H., Polygerinos, P., & Zhang, W. (2019). Dynamic modeling and motion control of a soft robotic arm segment. In 2019 American Control Conference, ACC 2019 (pp. 5438-5443). [8815212] (Proceedings of the American Control Conference; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc..

Dynamic modeling and motion control of a soft robotic arm segment. / Qiao, Zhi; Nguyen, Pham H.; Polygerinos, Panagiotis; Zhang, Wenlong.

2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5438-5443 8815212 (Proceedings of the American Control Conference; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Qiao, Z, Nguyen, PH, Polygerinos, P & Zhang, W 2019, Dynamic modeling and motion control of a soft robotic arm segment. in 2019 American Control Conference, ACC 2019., 8815212, Proceedings of the American Control Conference, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., pp. 5438-5443, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 7/10/19.
Qiao Z, Nguyen PH, Polygerinos P, Zhang W. Dynamic modeling and motion control of a soft robotic arm segment. In 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5438-5443. 8815212. (Proceedings of the American Control Conference).
Qiao, Zhi ; Nguyen, Pham H. ; Polygerinos, Panagiotis ; Zhang, Wenlong. / Dynamic modeling and motion control of a soft robotic arm segment. 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5438-5443 (Proceedings of the American Control Conference).
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