2021•Unpublished venueRequires access

Research of Improved MRAS Based Sensorless Control of Permanent Magnet Synchronous Motor Considering Parameter Sensitivity

Yunchuan Ni, Dingguo Shao

Open publisher page 23 citations

Abstract

PMSM sensorless control performance is largely affected by the accuracy of rotor position estimation. In this paper, MRAS method is used in the PMSM sensorless control, the position estimation of traditional MRAS sensorless method is sensitive to parameter variation during the operation of PMSM. To solve the problem, simulation has been done at first to study the parameter sensitivity of traditional MRAS. Base on the simulation results that variations in inductance and flux linkage have a greater impact on MRAS position estimation, an improved MRAS sensorless method is proposed in this paper. The MRAS adjustable model is updated by the FFRLS parameter identification results in each control cycle. The simulation results show that the improved MRAS position estimator can effectively reduce the influence of parameter variation on rotor position estimation.

About this research paper

What this paper is about

PMSM sensorless control performance is largely affected by the accuracy of rotor position estimation. In this paper, MRAS method is used in the PMSM sensorless control, the position estimation of traditional MRAS sensorless method is sensitive to parameter variation during the operation of PMSM. To solve the problem, simulation has been done at first to study the parameter sensitivity of traditional MRAS. Base on the simulation results that variations in inductance and flux linkage have a greater impact on MRAS position estimation, an improved MRAS sensorless method is proposed in this paper. The MRAS adjustable model is updated by the FFRLS parameter identification results in each control cycle. The simulation results show that the improved MRAS position estimator can effectively reduce the influence of parameter variation on rotor position estimation.

Why it matters

OpenAlex reports 23 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

PMSM sensorless control performance is largely affected by the accuracy of rotor position estimation. In this paper, MRAS method is used in the PMSM sensorless control, the position estimation of traditional MRAS sensorless method is sensitive to parameter variation during the operation of PMSM. To solve the problem, simulation has been done at first to study the parameter sensitivity of traditional MRAS. Base on the simulation results that variations in inductance and flux linkage have a greater impact on MRAS position estimation, an improved MRAS sensorless method is proposed in this paper. The MRAS adjustable model is updated by the FFRLS parameter identification results in each control cycle. The simulation results show that the improved MRAS position estimator can effectively reduce the influence of parameter variation on rotor position estimation.

Key concepts: MRAS, Control theory (sociology), Estimator, Sensitivity (control systems), Inductance, Rotor (electric), Computer science, Position (finance)

Related papers

Back to paper searchBrowse research topicsOriginal source
Research of Improved MRAS Based Sensorless Control of Permanent Magnet Synchronous Motor Considering Parameter Sensitivity — Research Paper | ScholarLens