Details
| Original language | English |
|---|---|
| Article number | 3 |
| Pages (from-to) | 175-187 |
| Number of pages | 13 |
| Journal | International Journal of Modelling, Identification and Control (IJMIC) |
| Volume | 36 |
| Issue number | 3 |
| Publication status | Published - 2020 |
Abstract
Keywords
- Electric drive trains, Electromechanical motion systems, Frequency domain, Frequency response function, FRF, Indistinguishability analysis, Model selection, Model structure optimisation, Multiple mass models, Multiple mass resonators, Poles and zeros, Servo control systems, Structure and parameter identification, Transfer function type
ASJC Scopus subject areas
- Mathematics(all)
- Applied Mathematics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Modelling and Simulation
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In: International Journal of Modelling, Identification and Control (IJMIC), Vol. 36, No. 3, 3, 2020, p. 175-187.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Distinguishability study of 3-Mass Models for Electromechanical Motion Systems
AU - Tantau, Mathias
AU - Helmke, Christian
AU - Perner, Lars
AU - Wielitzka, Mark
N1 - Funding information: This work was sponsored by the German Forschungsvereinigung Antriebstechnik e.V. (FVA) and the AiF Arbeitsgemeinschaft industrieller Forschungsvereinigungen “Otto von Guericke” e.V.
PY - 2020
Y1 - 2020
N2 - Physically motivated models of electromechanical motion systems are required in several applications related to control design and auto-tracking, model-based fault detection, feed-forward, and simply interpretation. However, attempts to create such models automatically via structure and parameter identification struggle with ambiguities regarding the correct internal structure of the model. Designing a reasonable set of candidate models is difficult, because it is not known which models are distinguishable andwhich are not. This paper gives a simple to use necessary condition for indistinguishability of multiple mass models as they are used to model the control-relevant features of motion systems. In an automated way models are generated that can be created by considering elasticities at different positions in themechanical structures. The condition is applied to thesemodels for the case of three masses. In three examples it is shown that the criterion simplifies the subsequent structure and parameter identification considerably by reducing the number of possible models. For higher numbers of masses, however, it would become intractable.
AB - Physically motivated models of electromechanical motion systems are required in several applications related to control design and auto-tracking, model-based fault detection, feed-forward, and simply interpretation. However, attempts to create such models automatically via structure and parameter identification struggle with ambiguities regarding the correct internal structure of the model. Designing a reasonable set of candidate models is difficult, because it is not known which models are distinguishable andwhich are not. This paper gives a simple to use necessary condition for indistinguishability of multiple mass models as they are used to model the control-relevant features of motion systems. In an automated way models are generated that can be created by considering elasticities at different positions in themechanical structures. The condition is applied to thesemodels for the case of three masses. In three examples it is shown that the criterion simplifies the subsequent structure and parameter identification considerably by reducing the number of possible models. For higher numbers of masses, however, it would become intractable.
KW - indistinguishability analysis
KW - multiple mass resonators
KW - multiple mass models
KW - electric drive trains
KW - electromechanical motion systems
KW - servo control systems
KW - structure and parameter identication
KW - model selection
KW - model structure optimization
KW - transfer function type
KW - poles and zeros
KW - frequency domain
KW - frequency response function
KW - FRF
KW - Electric drive trains
KW - Electromechanical motion systems
KW - Frequency domain
KW - Frequency response function
KW - FRF
KW - Indistinguishability analysis
KW - Model selection
KW - Model structure optimisation
KW - Multiple mass models
KW - Multiple mass resonators
KW - Poles and zeros
KW - Servo control systems
KW - Structure and parameter identification
KW - Transfer function type
UR - http://www.scopus.com/inward/record.url?scp=85113142048&partnerID=8YFLogxK
U2 - 10.15488/11342
DO - 10.15488/11342
M3 - Article
VL - 36
SP - 175
EP - 187
JO - International Journal of Modelling, Identification and Control (IJMIC)
JF - International Journal of Modelling, Identification and Control (IJMIC)
IS - 3
M1 - 3
ER -