Please use this identifier to cite or link to this item: doi:10.22028/D291-41815
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Title: Design, Modeling, and Experimental Validation of a High Voltage Driving Circuit for Dielectric Elastomer Actuators
Author(s): Perri, Carmen
Holz, Benedikt
Massenio, Paolo R.
Naso, David
Rizzello, Gianluca
Language: English
Title: IEEE Transactions on Industrial Electronics
Volume: 71
Issue: 5
Pages: 5083-5093
Publisher/Platform: IEEE
Year of Publication: 2023
Free key words: Integrated circuit modeling
RLC circuits
High-voltage techniques
Voltage control
Transistors
Resonant frequency
Pulse width modulation
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Dielectric elastomer actuators (DEAs) require high driving voltages (typically in the order of kV) to generate meaningful displacements. As DEA technology becomes more spread, the availability of small, inexpensive, lightweight, and low-power driving electronic circuits is essential. Moreover, to achieve fast and accurate control of the voltage delivered to the DEA, the development of dynamic models capable of accurately describing the response of the driving circuit is of fundamental importance. This work describes a control-oriented model for a novel high-voltage driving circuit for DEAs, consisting of a combination of a charging stage (i.e., a cascade of a resonant converter and a rectifier Greinacher circuit) and a discharging stage. The proposed circuit is small, lightweight, and low cost. It is capable of driving capacitive loads on the order of 600 pF by amplifying a 0–6 V input signal up to 0–3 kV at its output. After presenting the circuit, a lumped-parameter dynamic model is derived to describe the input–output relationship. The prediction performances of the developed model are assessed through extensive experiments.
DOI of the first publication: 10.1109/TIE.2023.3288190
URL of the first publication: https://ieeexplore-qa.ieee.org/document/10163924
Link to this record: urn:nbn:de:bsz:291--ds-418156
hdl:20.500.11880/37407
http://dx.doi.org/10.22028/D291-41815
ISSN: 1557-9948
0278-0046
Date of registration: 27-Mar-2024
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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