Details
| Original language | English |
|---|---|
| Pages (from-to) | 8750-8756 |
| Number of pages | 7 |
| Journal | International Federation of Automatic Control (IFAC) |
| Volume | 53 |
| Issue number | 2 |
| Early online date | 14 Jul 2020 |
| Publication status | Published - 2020 |
Abstract
The paper at hand deals with the optimization of multisine signals in terms of effective value for identification of electric drive trains, considering constraints on position, velocity, acceleration and torque. The advantage of maximizing the effective value while respecting the constraints rather than minimizing the crest factor of the input signal is delineated. Results with two algorithms suitable for this optimization task are presented for different sets of dynamic constraints. It is shown that the proposed modified clipping algorithm is much faster than the L ∞ optimization which is dedicated to simultaneous optimization of several different signals, while being slightly less performant in terms of effective value.
Keywords
- Design of experiment, Experimental modal testing, Frequency-domain identification, Multisine excitation, Optimal excitation, Optimized multisine
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: International Federation of Automatic Control (IFAC), Vol. 53, No. 2, 2020, p. 8750-8756.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Constrained Design of Multisine Signals for Frequency-domain Identification of Electric Drive Trains
AU - Tantau, Mathias
AU - Petersen, Thomas
AU - Wielitzka, Mark
AU - Ortmaier, Tobias
N1 - Funding information: This work was sponsored by the AiF (Arbeitsgemeinschaft industrieller Forschungsvereinigungen Otto von Guericke e.V.) and managed by the FVA (Forschungsvereinigung Antriebstechnik e.V.) both in Germany.
PY - 2020
Y1 - 2020
N2 - The paper at hand deals with the optimization of multisine signals in terms of effective value for identification of electric drive trains, considering constraints on position, velocity, acceleration and torque. The advantage of maximizing the effective value while respecting the constraints rather than minimizing the crest factor of the input signal is delineated. Results with two algorithms suitable for this optimization task are presented for different sets of dynamic constraints. It is shown that the proposed modified clipping algorithm is much faster than the L ∞ optimization which is dedicated to simultaneous optimization of several different signals, while being slightly less performant in terms of effective value.
AB - The paper at hand deals with the optimization of multisine signals in terms of effective value for identification of electric drive trains, considering constraints on position, velocity, acceleration and torque. The advantage of maximizing the effective value while respecting the constraints rather than minimizing the crest factor of the input signal is delineated. Results with two algorithms suitable for this optimization task are presented for different sets of dynamic constraints. It is shown that the proposed modified clipping algorithm is much faster than the L ∞ optimization which is dedicated to simultaneous optimization of several different signals, while being slightly less performant in terms of effective value.
KW - multisine excitation
KW - optimized multisine
KW - optimal excitation
KW - design of experiment
KW - experimental modal testing
KW - frequency-domain identication
KW - Design of experiment
KW - Experimental modal testing
KW - Frequency-domain identification
KW - Multisine excitation
KW - Optimal excitation
KW - Optimized multisine
UR - http://www.scopus.com/inward/record.url?scp=85105081318&partnerID=8YFLogxK
U2 - 10.15488/10399
DO - 10.15488/10399
M3 - Conference article
VL - 53
SP - 8750
EP - 8756
JO - International Federation of Automatic Control (IFAC)
JF - International Federation of Automatic Control (IFAC)
IS - 2
ER -