Research on Multi-parameter Identification Strategy of Electrically Excited Synchronous Motor

Aiming at the problem of complicated mathematical model of electrically excited synchronous motor and difficulty in parameter identification, the identifiability of parameters is analyzed, and a step-by-step parameter identification strategy based on mayfly optimization algorithm is proposed. According to this strategy, the electric excitation synchronization can be accurately identified. Various parameters of the motor. First, the identification model of some parameters is established according to the different steady-state operating conditions of the electrically excited synchronous motor, and then based on the dynamic process data, the mayfly optimization algorithm is used to identify the remaining parameters. The motor operation model and parameter identification model were established by MATLAB/Simulink for verification. The results show that the strategy can quickly and effectively identify the parameters of the electrically excited synchronous motor with high accuracy.