Parameter identification for PMSM based on varying forgetting factor multi-innovation stochastic gradient identification algorithm

Aiming at the inaccurate result of traditional identification algorithm and the variation of motor parameters a new algorithm based on time varying forgetting factor multi-innovation stochastic gradient is proposed. Based on the voltage equation of permanent magnet synchronous motor system a discrete identification model is constructed. The vector control method is used to control the motor the input and output data of the identification model is obtained and the rotor resistance and inductance parameters are identified. Simulation results show that the algorithm can accurately identify the parameters of permanent magnet synchronous motor based on the new random gradient algorithm with variable forgetting factor.

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