Traditional identification for the AUV dynamic models is based on the least square method. But it’s time-consuming and expensive. Especially, the intervention AUV is complex to identify the dynamic models. The paper identifies dynamic models for the intervention AUV based on numerical simulation. The paper uses the software “Star CCM+” as a tool. To further improve the identification precision for hydrodynamic damping coefficients, the paper modifies the virtual tank boundary function and AUV surface function in the simulation. Experiments on heading and longitudinal motion trajectory are conducted to verify the identification effectiveness of the improved computational fluid dynamics (CFD) method compared with that of the traditional least square method.
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