Prediction of Speaker Performance at High Amplitudes

Klippel W. Prediction of Speaker Performance at High Amplitudes. In: AES Convention 111. Audio Engineering Society; 2001. Paper 5418. Available from: https://aes.org/publications/elibrary-page/?id=9834

@inproceedings{Klippel2001_9834,
  author = {Klippel, Wolfgang},
  title = {{Prediction of Speaker Performance at High Amplitudes}},
  booktitle = {AES Convention 111},
  note = {Paper 5418},
  year = {2001},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=9834}
}

TY  - CPAPER
TI  - Prediction of Speaker Performance at High Amplitudes
AU  - Klippel, Wolfgang
T2  - AES Convention 111
M1  - Paper 5418
PY  - 2001
DA  - 2001/11/06
UR  - https://aes.org/publications/elibrary-page/?id=9834
PB  - Audio Engineering Society
LA  - en
AB  - A new method is presented for the numerical simulation of the large signal performance of drivers and loudspeaker systems. The basis is an extended loudspeaker model considering the dominant nonlinear and thermal effects. The use of a two-tone excitation allows the response of fundamental, DC-component, harmonics, and intermodulation components to be measured as a function of frequency and amplitude. After measurement of the linear and nonlinear parameters, the electrical, mechanical, and acoustical state variables may be calculated by numerical integration. The relationship between large signal parameters and non-linear transfer behavior is discussed by modeling two drivers. The good agreement between simulated and measured responses shows the basic modeling, parameter identification, and numerical predictions are valid even at large amplitudes. The method presented reduces time-consuming measurements and provided essential information for quality assessment and diagnosis. The extended loudspeaker model also allows prediction of design changes on the large signal performance by changing the model parameters to reflect the driver design changes. The incorporation of nonlinear parameters into the loudspeaker model allows for optimization in both the small and large signal domains by model prediction.
ER  -