Please use this identifier to cite or link to this item: doi:10.22028/D291-30895
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Title: Fuzzy Adaptive Dynamic Programming Minimum Energy Control Of Dielectric Elastomer Actuators
Author(s): Massenio, Paolo Roberto
Rizzello, Gianluca
Naso, David
Language: English
Title: 2019 IEEE International Conference on Fuzzy Systems
Pages: 6
Publisher/Platform: IEEE
Year of Publication: 2019
Title of the Conference: FUZZ-IEEE 2019
Place of the conference: New Orleans, Louisiana, USA
Publikation type: Conference Paper
Abstract: In this paper, a new optimal control scheme is presented to minimize the energy required by a positioning system based on a dielectric elastomer membrane actuator. In order to address the strongly nonlinear model of the device, an approximated approach is required. In here, an Adaptive Dynamic Programming based algorithm is proposed, capable of minimizing a family of cost functions related to the energy consumption with respect to a single reference value. Furthermore, in order to handle the optimization of arbitrary reference trajectories without solving an infinite number of optimal control problems, a fuzzy logic approach is proposed. Simulation results are finally presented to show the advantages of the proposed method, compared with alternative solutions.
DOI of the first publication: 10.1109/FUZZ-IEEE.2019.8858901
URL of the first publication: https://ieeexplore.ieee.org/document/8858901
Link to this record: hdl:20.500.11880/29117
http://dx.doi.org/10.22028/D291-30895
ISBN: 978-1-5386-1728-1
978-1-5386-1729-8
Date of registration: 11-May-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:UniBib – Die Universitätsbibliographie

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