Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2021 European Control Conference, ECC 2021 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 2479-2486 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9789463842365 |
| ISBN (Print) | 978-1-6654-7945-5 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Veranstaltung | 2021 European Control Conference (ECC) - Rotterdam, Niederlande Dauer: 29 Juni 2021 → 2 Juli 2021 |
Abstract
motion systems enable model-based control theory and facilitate
system interpretation. Unfortunately, the effort of modelling
restricts the usage of model-based methods in many applications.
Some approaches to automatically generate models from
measurements choose the best model based on minimizing the
residual. These model selection attempts are limited due to
ambiguities in reconstructing the internal structure from the
input-output behaviour because usually motion systems have
only one actuator and one sensor. Often, it is unknown if the
resulting model is unique or if other models with different
structure would fit equally well. The set of candidate models
should be designed to contain only distinguishable models but
ambiguities are often unknown to the experimenter. In this
paper distinguishability is investigated systematically for a class
of multiple mass models representing servo positioning systems.
In the analysis a new criterion for indistinguishability is used.
The benefit of additional, structural sensors on distinguishability
of models is demonstrated which suggests to mount them
temporarily for the commissioning phase in order to facilitate
the model selection. It turns out that the best results can be
achieved if synergies among sensor signals are utilized.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Steuerung und Optimierung
- Informatik (insg.)
- Artificial intelligence
- Entscheidungswissenschaften (insg.)
- Entscheidungswissenschaften (sonstige)
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Maschinenbau
- Mathematik (insg.)
- Computational Mathematics
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2021 European Control Conference, ECC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. S. 2479-2486.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Distinguishability Analysis for Multiple Mass Models of Servo Systems with Commissioning Sensors
AU - Tantau, Mathias
AU - Perner, Lars
AU - Wielitzka, Mark
N1 - Funding Information: This work was sponsored by the German Forschungsvereinigungen Antriebstechnik e.V. (FVA) and the AiF Arbeitsgemeinschaft industrieller Forschungsvereinigung "Otto von Guericke" e.V.
PY - 2021
Y1 - 2021
N2 - Physically motivated models of electromechanicalmotion systems enable model-based control theory and facilitatesystem interpretation. Unfortunately, the effort of modellingrestricts the usage of model-based methods in many applications.Some approaches to automatically generate models frommeasurements choose the best model based on minimizing theresidual. These model selection attempts are limited due toambiguities in reconstructing the internal structure from theinput-output behaviour because usually motion systems haveonly one actuator and one sensor. Often, it is unknown if theresulting model is unique or if other models with differentstructure would fit equally well. The set of candidate modelsshould be designed to contain only distinguishable models butambiguities are often unknown to the experimenter. In thispaper distinguishability is investigated systematically for a classof multiple mass models representing servo positioning systems.In the analysis a new criterion for indistinguishability is used.The benefit of additional, structural sensors on distinguishabilityof models is demonstrated which suggests to mount themtemporarily for the commissioning phase in order to facilitatethe model selection. It turns out that the best results can beachieved if synergies among sensor signals are utilized.
AB - Physically motivated models of electromechanicalmotion systems enable model-based control theory and facilitatesystem interpretation. Unfortunately, the effort of modellingrestricts the usage of model-based methods in many applications.Some approaches to automatically generate models frommeasurements choose the best model based on minimizing theresidual. These model selection attempts are limited due toambiguities in reconstructing the internal structure from theinput-output behaviour because usually motion systems haveonly one actuator and one sensor. Often, it is unknown if theresulting model is unique or if other models with differentstructure would fit equally well. The set of candidate modelsshould be designed to contain only distinguishable models butambiguities are often unknown to the experimenter. In thispaper distinguishability is investigated systematically for a classof multiple mass models representing servo positioning systems.In the analysis a new criterion for indistinguishability is used.The benefit of additional, structural sensors on distinguishabilityof models is demonstrated which suggests to mount themtemporarily for the commissioning phase in order to facilitatethe model selection. It turns out that the best results can beachieved if synergies among sensor signals are utilized.
UR - http://www.scopus.com/inward/record.url?scp=85124880530&partnerID=8YFLogxK
U2 - 10.15488/10570
DO - 10.15488/10570
M3 - Conference contribution
AN - SCOPUS:85124880530
SN - 978-1-6654-7945-5
SP - 2479
EP - 2486
BT - 2021 European Control Conference, ECC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 European Control Conference (ECC)
Y2 - 29 June 2021 through 2 July 2021
ER -