This invention provides a method for evaluating the
harmonic attenuation effect of radial electromagnetic force on a motor, belonging to the field of electromagnetic force
harmonic technology. The method includes: first, collecting sensor data on the motor's
magnetic flux density, vibration, current, and torque; constructing a measurement vector; and segmenting the data according to a
sliding time window. Then, establishing a coupled
electromagnetic field and mechanical structure model, discretizing it using the
finite element method, and calibrating the
model parameters using the measurement data. Calculating the
harmonic coefficient matrix of the radial electromagnetic force using the
magnetic flux density data, and establishing a dynamic model of the motor rotor
system. Inputting the standard harmonic coefficients and wave harmonic coefficients into the dynamic model to obtain the corresponding
vibration response matrices, and defining the
harmonic attenuation coefficient matrix. Finally, training a neural
network model that can quickly predict the attenuation effect of standard
harmonics and wave
harmonics, perform quantitative analysis, and output a comprehensive
evaluation result. This method solves the problem that existing evaluations often involve extensive experiments, which are time-consuming and labor-intensive.