Identification of Nonlinear Fractional Derivative Loudspeaker Model

Tian X, Shen Y, Chen L, Zhang Z. Identification of Nonlinear Fractional Derivative Loudspeaker Model. J Audio Eng Soc. 2020;68(5):355-363. doi:10.17743/jaes.2020.0010

@article{Tian2020_20853,
  author = {Tian, Xing and Shen, Yong and Chen, Li and Zhang, Zhaoqi},
  title = {{Identification of Nonlinear Fractional Derivative Loudspeaker Model}},
  journal = {Journal of the Audio Engineering Society},
  volume = {68},
  number = {5},
  pages = {355--363},
  year = {2020},
  month = may,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2020.0010},
  url = {https://doi.org/10.17743/jaes.2020.0010}
}

TY  - JOUR
TI  - Identification of Nonlinear Fractional Derivative Loudspeaker Model
AU  - Tian, Xing
AU  - Shen, Yong
AU  - Chen, Li
AU  - Zhang, Zhaoqi
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 68
IS  - 5
SP  - 355
EP  - 363
PY  - 2020
DA  - 2020/05/06
DO  - 10.17743/jaes.2020.0010
UR  - https://doi.org/10.17743/jaes.2020.0010
PB  - Audio Engineering Society
LA  - en
AB  - Fractional derivative loudspeaker model describes the physical mechanism of eddy current losses in the voice coil and visco- elasticity of the suspension, which simplifies existing lumped parameter models containing creep and inductance corrections and makes more accurate predictions of loudspeaker dynamics. However, research on nonlinear fractional derivative model stays at the simulation level due to the difficulty in measuring the nonlinear parameters. In this paper, an identification algo- rithm is proposed to address this problem. All model parameters including four nonlinear parameters can be precisely identi- fied based on two small-signal characteristic curves and electrical data under large-signal conditions. Objective experimental indicators confirm the validity of the proposed algorithm, and the reason why nonlinear fractional derivative model performs better is analyzed.
ER  -