Fractional Order Parameter Identification Of PMSM Based on Improved Levenberg-Marquardt Algorithm

A parameter identification method based on improved Levenberg-Marquardt algorithm is proposed for fractional order model of permanent magnet synchronous motor(PMSM) in this paper. First, the traditional integer order model of permanent magnet synchronous motor is extended to fractional order model, the model structures of electromagnetic link and mechanical link of PMSM are built on basis of the composition mechanism of PMSM. Second, the fractional order system is approximated, the parameters of the two parts are confirmed by employing the improved parameter identification algorithm presented in this article, and the fractional model of permanent magnet synchronous motor is thus getted. Finally, the simulation and comparison results show that the improved parameter identification algorithm has fast convergence and high accuracy, and the model parameters identified by this algorithm are closer to the actual model.