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.
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