---
_id: '13023'
abstract:
- lang: eng
text: Transducers based on dielectric electroactive polymers (DEAP) use electrostatic
pressure to convert electric energy into strain energy or vice versa. Besides
this, they are also designed for sensor applications in monitoring the actual
stretch state on the basis of the deformation dependent capacitive-resistive behavior
of the DEAP. In order to enable an efficient and proper closed loop control operation
of these transducers, e.g. in positioning or energy harvesting applications, on
the one hand, sensors based on DEAP material can be integrated into the transducers
and evaluated externally, and on the other hand, the transducer itself can be
used as a sensor, also in terms of self-sensing. For this purpose the characteristic
electrical behavior of the transducer has to be evaluated in order to determine
the mechanical state. Also, adequate online identification algorithms with sufficient
accuracy and dynamics are required, independent from the sensor concept utilized,
in order to determine the electrical DEAP parameters in real time. Therefore,
in this contribution, algorithms are developed in the frequency domain for identifications
of the capacitance as well as the electrode and polymer resistance of a DEAP,
which are validated by measurements. These algorithms are designed for self-sensing
applications, especially if the power electronics utilized is operated at a constant
switching frequency, and parasitic harmonic oscillations are induced besides the
desired DC value. These oscillations can be used for the online identification,
so an additional superimposed excitation is no longer necessary. For this purpose
a dual active bridge (DAB) is introduced to drive the DEAP transducer. The capabilities
of the real-time identification algorithm in combination with the DAB are presented
in detail and discussed, finally.
article_number: '104007'
author:
- first_name: Thorben
full_name: Hoffstadt, Thorben
last_name: Hoffstadt
- first_name: Martin
full_name: Griese, Martin
id: '52308'
last_name: Griese
- first_name: Jürgen
full_name: Maas, Jürgen
id: '1827'
last_name: Maas
citation:
ama: Hoffstadt T, Griese M, Maas J. Online identification algorithms for integrated
dielectric electroactive polymer sensors and self-sensing concepts. Smart Materials
and Structures. 2014;23(10). doi:10.1088/0964-1726/23/10/104007
apa: Hoffstadt, T., Griese, M., & Maas, J. (2014). Online identification algorithms
for integrated dielectric electroactive polymer sensors and self-sensing concepts.
Smart Materials and Structures, 23(10), Article 104007. https://doi.org/10.1088/0964-1726/23/10/104007
bjps: Hoffstadt T, Griese M and Maas J (2014) Online Identification Algorithms
for Integrated Dielectric Electroactive Polymer Sensors and Self-Sensing Concepts.
Smart Materials and Structures 23.
chicago: Hoffstadt, Thorben, Martin Griese, and Jürgen Maas. “Online Identification
Algorithms for Integrated Dielectric Electroactive Polymer Sensors and Self-Sensing
Concepts.” Smart Materials and Structures 23, no. 10 (2014). https://doi.org/10.1088/0964-1726/23/10/104007.
chicago-de: Hoffstadt, Thorben, Martin Griese und Jürgen Maas. 2014. Online identification
algorithms for integrated dielectric electroactive polymer sensors and self-sensing
concepts. Smart Materials and Structures 23, Nr. 10. doi:10.1088/0964-1726/23/10/104007,
.
din1505-2-1: 'Hoffstadt, Thorben ;
Griese, Martin ; Maas,
Jürgen: Online identification algorithms for integrated dielectric electroactive
polymer sensors and self-sensing concepts. In: Smart Materials and Structures
Bd. 23. Bristol, IOP Publishing (2014), Nr. 10'
havard: T. Hoffstadt, M. Griese, J. Maas, Online identification algorithms for integrated
dielectric electroactive polymer sensors and self-sensing concepts, Smart Materials
and Structures. 23 (2014).
ieee: 'T. Hoffstadt, M. Griese, and J. Maas, “Online identification algorithms for
integrated dielectric electroactive polymer sensors and self-sensing concepts,”
Smart Materials and Structures, vol. 23, no. 10, Art. no. 104007, 2014,
doi: 10.1088/0964-1726/23/10/104007.'
mla: Hoffstadt, Thorben, et al. “Online Identification Algorithms for Integrated
Dielectric Electroactive Polymer Sensors and Self-Sensing Concepts.” Smart
Materials and Structures, vol. 23, no. 10, 104007, 2014, https://doi.org/10.1088/0964-1726/23/10/104007.
short: T. Hoffstadt, M. Griese, J. Maas, Smart Materials and Structures 23 (2014).
ufg: 'Hoffstadt, Thorben/Griese, Martin/Maas, Jürgen: Online identification
algorithms for integrated dielectric electroactive polymer sensors and self-sensing
concepts, in: Smart Materials and Structures 23 (2014), H. 10.'
van: Hoffstadt T, Griese M, Maas J. Online identification algorithms for integrated
dielectric electroactive polymer sensors and self-sensing concepts. Smart Materials
and Structures. 2014;23(10).
conference:
end_date: 2014-09-18
location: Snowbird, UT
name: ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems
start_date: 2014-09-16
date_created: 2025-06-25T08:07:52Z
date_updated: 2025-06-25T08:14:25Z
department:
- _id: DEP6020
- _id: DEP5022
doi: 10.1088/0964-1726/23/10/104007
external_id:
isi:
- '000342369900008'
intvolume: ' 23'
isi: '1'
issue: '10'
keyword:
- dielectric electroactive polymer
- identification algorithm
- self-sensing
- DEAP sensor
language:
- iso: eng
place: Bristol
publication: Smart Materials and Structures
publication_identifier:
eissn:
- 1361-665X
issn:
- 0964-1726
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
status: public
title: Online identification algorithms for integrated dielectric electroactive polymer
sensors and self-sensing concepts
type: scientific_journal_article
user_id: '83781'
volume: 23
year: '2014'
...