Position Calibration Techniques Comparison for Sensorless Control PMSM Based on Variance Adjustment and Angle Regulation

Abstract

this paper compares two types of position calibration techniques: angle PI regulation and stochastic variance adjustment applied in three state-estimation observers and flux-linkage observer for sensorless control Permanent Magnet Synchronous Motor (PMSM). Three types of state-estimation observers are Extended Kalman Filter (EKF), Linear Kalman Filter (LKF) and Single Dimension Luenberger observer (SDL). Experimental result shows that the difference between various sensorless state-estimation techniques is decided by error calibration type.