A Hybrid Filtering Stage-Based Rotor Position Estimation Method of PMSM with Adaptive Parameter.

Linxin Yu,Dazhi Wang

doi:10.3390/s21144667

Abstract

The performance of sensorless control in a permanent magnet synchronous machine (PMSM) highly depends on the accuracy of rotor position estimation. Owing to its strong robustness, phase-locked loop (PLL) is widely used in rotor position estimation. However, due to the influence of harmonics existing in back electromotive force (EMF), estimation error occurs by using PLL. In this paper, a hybrid filtering stage-based PLL is proposed to improve the rotor position estimation. Adaptive notch filters and moving average filters are integrated together to eliminate harmonic EMF. To make the method effective under varying speed conditions, adaptive parameters design guidelines are provided, considering dynamic performance under a wide operating range. The proposed method can accurately detect rotor position even under harmonic EMF disturbances. It can also adjust the frequency adaptively based on the rotating speed of the rotor, which means the estimation performance is not deteriorated under rotating speed changing conditions. The simulation results verify the effectiveness of the proposed method.

Highlights

Due to the advantages of efficiency and high power density, permanent magnet synchronous motors (PMSM) have been widely used in electric vehicles, petroleum, and other industrial fields [1,2,3]
Aiming at the abovementioned problem of sliding mode control methods, this paper proposes a phase-locked loop (PLL) based on a hybrid filter stage for PMSM rotor position estimation
The PMSM was driven by an inverterbased motor driver controlled by a DSP

Summary

Introduction

Due to the advantages of efficiency and high power density, permanent magnet synchronous motors (PMSM) have been widely used in electric vehicles, petroleum, and other industrial fields [1,2,3]. In [12], a sensorless vector control method based on SMO is proposed, which can track the rotor position and speed more accurately. Aiming at the abovementioned problem of sliding mode control methods, this paper proposes a PLL based on a hybrid filter stage for PMSM rotor position estimation. Without the influence of harmonic EMF, the rotor position and rotating speed are estimated by the proposed PLL. Taking into account the harmonic components of stator voltages and currents, which may be caused by unbalanced rotor structure or unbalanced power supply, the oscillation errors are transferred into the PLL and appear in the estimation of rotor position and rotating frequency.

The Proposed PLL

Experimental Results

Conclusions