PMSM Speed Identified by Neural Network Based on MRAS
Hui Jing
Abstract
Hui Jing
Abstract
According to permanent magnet synchronous motor(PMSM) stator current mathematical model under synchronous rotation coordinates,a speed on-line identification method based on MRAS was presented in this paper.This method provided a new choice for the PMSM sensorless control strategy.Theoretical analysis and simulation results showed the effectiveness and feasibility of the method.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
According to permanent magnet synchronous motor(PMSM) stator current mathematical model under synchronous rotation coordinates,a speed on-line identification method based on MRAS was presented in this paper.This method provided a new choice for the PMSM sensorless control strategy.Theoretical analysis and simulation results showed the effectiveness and feasibility of the method.
Key concepts: MRAS, Control theory (sociology), Stator, Permanent magnet synchronous motor, Synchronous motor, Computer science, Artificial neural network, Identification (biology)