Please use this identifier to cite or link to this item: doi:10.22028/D291-33856
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Title: Flatness-based Trajectory-tracking Control of Dielectric Elastomer Actuators
Author(s): Scherer, Peter Michael
Irscheid, Abdurrahman
Rizzello, Gianluca
Rudolph, Joachim
Editor(s): Findeisen, Rolf
Hirche, Sandra
Janschek, Klaus
Mönnigmann, Martin
Language: English
Title: IFAC-PapersOnLine
Startpage: 8757
Endpage: 8762
Publisher/Platform: Elsevier
Year of Publication: 2020
Place of publication: Frankfurt am Main
Title of the Conference: IFAC World Congress 2020
Place of the conference: Berlin, Germany
Publikation type: Conference Paper
Abstract: In recent years, actuators based on dielectric elastomers have become popular for both research and industrial applications. Due to their nonlinear behavior, they are typically used in on/off actuation. Established feedback control methods such as PID provide an effective and robust way to drive these actuators under constant setpoint requirements. However, such control methods exhibit poor trajectory tracking performance. This shortcoming is addressed in this work with a flatness-based nonlinear control design for a circular membrane actuator based on dielectric elastomers. By exploiting a nonlinear electro-mechanical model of the device, a tracking control law is designed in both feed-forward and feedback form. Moreover, it is shown how the flatness-based feed-forward control may be used to extend a conventional PID control to improve its tracking performance. The presented methods are validated and compared experimentally with a real actuator prototype. Tracking accuracy better than 10µm along a 1 mm stroke trajectory (i. e. less than 1%) is shown. This result is a significant improvement over existing PID control laws.
DOI of the first publication: 10.1016/j.ifacol.2020.12.1371
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S240589632031778X
Link to this record: hdl:20.500.11880/31494
http://dx.doi.org/10.22028/D291-33856
ISSN: 2405-8963
Date of registration: 8-Jul-2021
Notes: IFAC-PapersOnLine, Volume 53, Issue 2, 2020, Pages 8757-8762
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Joachim Rudolph
NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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