Fractional Order Parameter Identification Of PMSM Based on Improved Levenberg-Marquardt Algorithm
chinese automation congress(2019)
Abstract
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.
MoreTranslated text
Key words
permanent magnet synchronous motor(PMSM),fractional order,Levenberg-Marquardt algorithm,parameter identification
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined