DocumentCode :
230189
Title :
An improved rotor position estimation in PMSM with low-resolution hall-effect sensors
Author :
Xinghao Zhang ; Wei Zhang
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
2722
Lastpage :
2727
Abstract :
This paper proposes an improved rotor position estimation method in permanent-magnet synchronous motor (PMSM) with low-resolution hall-effect sensors. This method promise to decrease the estimated position errors, which are caused by the hall position offset. A linear interpolation based on least squares method is used to estimate the rotor position. The compensation algorithm at the hall pulse time is also used to avoid the angle transient which could cause the torque ripple. The space vector pulse width modulation (SVPWM) strategy based on the estimated rotor position is used to control the PMSM. The simulation based on MATLAB/Simulink is built to validate the availability of the proposed method. Comparisons with some other position estimation algorithms also have been done to illustrate the effectiveness of the proposed strategy. Finally, experimental results are provided to verify the proposed method.
Keywords :
Hall effect; interpolation; least squares approximations; permanent magnet motors; rotors; sensors; synchronous motors; PMSM; angle transient; hall pulse time; least squares method; linear interpolation; low-resolution hall-effect sensors; permanent-magnet synchronous motor; rotor position estimation; space vector pulse width modulation; torque ripple; Acceleration; Estimation; Interpolation; Rotors; Sensors; Synchronous motors; Torque; hall offset compensation; hall-effect sensors; low resolution; permanent-magnet synchronous motor; space vector pulse width modulation control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
Type :
conf
DOI :
10.1109/ICEMS.2014.7013961
Filename :
7013961
Link To Document :
بازگشت