This paper provides an improvement in sensorless control performance of surface permanent magnet synchronous motor(SPMSM). One method of the rotor position estimation by the complex number model based position estimator is proposed for the sensorless control of SPMSM. And, in order to eliminate the position estimation error that may be occurred by the uncertainty of motor parameters, a position type PI controller is applied to the error part of the position estimator. The proposed position estimation method does not need any information about the mechanical system of a motor. A control scheme to identify the permanent magnet flux of SPMSM by Extended Kalman Filter(EKF) is also proposed to increase the rotor position estimation accuracy. A rotor-flux-oriented vector control is employed as the basic control strategy for SPMSM drive system. The simulation results demonstrated the validity and feasibility of the proposed control system.
The control of a high performance alternative current (AC) motor drive under sensorless operation needs the accurate estimation of rotor position. In this paper, one method of accurately estimating rotor position by using both motor complex number model based position estimation and position estimation error suppression proportion integral (PI) controller is proposed for the sensorless control of the surface permanent magnet synchronous motor (SPMSM). In order to guarantee the accuracy of rotor position estimation in the flux-weakening region, one scheme of identifying the permanent magnet flux of SPMSM by extended Kalman filter (EKF) is also proposed, which formed the effective combination method to realize the sensorless control of SPMSM with high accuracy. The simulation results demonstrated the validity and feasibility of the proposed position/speed estimation system.
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