Abstract
Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates analysis, controller design and parametric modeling of a large class systems, including position-dependent mechanical systems. The aim of this paper is to enable FRF identification of LPV systems using global experiments. This is achieved by developing an appropriate definition of the FRF for input-output LPV systems and by developing a method to compute a statistically optimal estimator of the FRF, which reduces to the Empirical Transfer Function Estimate (ETFE) for frozen scheduling. The developed method is successfully used to estimate a position-dependent FRF of a wide-format printer, confirming the potential of the approach.
| Language | English |
|---|---|
| Pages | 108-113 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 51 |
| Issue number | 15 |
| DOIs | |
| State | Published - 8 Oct 2018 |
| Event | 18th IFAC Symposium on System Identification (SYSID 2018) - Stockholm, Sweden Duration: 9 Jul 2018 → 11 Jul 2018 |
Fingerprint
Keywords
- Frequency-response methods
- Linear Parameter-Varying Systems
Cite this
}
Frequency Response Function Identification of LPV systems : a global approach with application to mechanical systems. / de Rozario, Robin; Oomen, Tom.
In: IFAC-PapersOnLine, Vol. 51, No. 15, 08.10.2018, p. 108-113.Research output: Contribution to journal › Conference article › Academic › peer-review
TY - JOUR
T1 - Frequency Response Function Identification of LPV systems
T2 - IFAC-PapersOnLine
AU - de Rozario,Robin
AU - Oomen,Tom
PY - 2018/10/8
Y1 - 2018/10/8
N2 - Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates analysis, controller design and parametric modeling of a large class systems, including position-dependent mechanical systems. The aim of this paper is to enable FRF identification of LPV systems using global experiments. This is achieved by developing an appropriate definition of the FRF for input-output LPV systems and by developing a method to compute a statistically optimal estimator of the FRF, which reduces to the Empirical Transfer Function Estimate (ETFE) for frozen scheduling. The developed method is successfully used to estimate a position-dependent FRF of a wide-format printer, confirming the potential of the approach.
AB - Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates analysis, controller design and parametric modeling of a large class systems, including position-dependent mechanical systems. The aim of this paper is to enable FRF identification of LPV systems using global experiments. This is achieved by developing an appropriate definition of the FRF for input-output LPV systems and by developing a method to compute a statistically optimal estimator of the FRF, which reduces to the Empirical Transfer Function Estimate (ETFE) for frozen scheduling. The developed method is successfully used to estimate a position-dependent FRF of a wide-format printer, confirming the potential of the approach.
KW - Frequency-response methods
KW - Linear Parameter-Varying Systems
UR - http://www.scopus.com/inward/record.url?scp=85054449342&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2018.09.099
DO - 10.1016/j.ifacol.2018.09.099
M3 - Conference article
VL - 51
SP - 108
EP - 113
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 15
ER -