Issue |
Acta Acust.
Volume 6, 2022
|
|
---|---|---|
Article Number | 9 | |
Number of page(s) | 11 | |
Section | Musical Acoustics | |
DOI | https://doi.org/10.1051/aacus/2022004 | |
Published online | 25 March 2022 |
Audio Article
Parameter identification of a physical model of brass instruments by constrained continuation
1
YAMAHA Corporation, Research and Development Division, 10-1 Nakazawa-cho, Naka-ku, Hamamatsu, Shizuoka 430-8650, Japan
2
Aix Marseille Univ., CNRS, Centrale Marseille, LMA UMR7031, Marseille, France
* Corresponding author: vincent.freour@music.yamaha.com
Received:
15
October
2021
Accepted:
28
January
2022
Numerical continuation using the Asymptotic Numerical Method (ANM), together with the Harmonic Balance Method (HBM), makes it possible to follow the periodic solutions of non-linear dynamical systems such as physical models of wind instruments. This has been recently applied to practical problems such as the categorization of musical instruments from the calculated bifurcation diagrams [V. Fréour et al. Journal of the Acoustical Society of America 148 (2020) https://doi.org/10.1121/10.0001603]. Nevertheless, one problem often encountered concerns the uncertainty on some parameters of the model (reed parameters in particular), the values of which are set almost arbitrarily because they are too difficult to measure experimentally. In this work we propose a novel approach where constraints, defined from experimental measurements, are added to the system. This operation allows uncertain parameters of the model to be relaxed and the continuation of the periodic solution with constraints to be performed. It is thus possible to quantify the variations of the relaxed parameters along the solution branch. The application of this technique to a physical model of a trumpet is presented in this paper, with constraints derived from experimental measurements on a trumpet player.
Key words: Brass instruments / Nonlinear dynamical system / Numerical continuation / Lip parameters
© V. Fréour et al., Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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