Sensor-less vector control of Surface Mount Permanent Magnet Synchronous Motor (SPMSM) throughout the entire speed regime is a challenging problem in PMSM drive. This paper addresses this control problem and presents the design and simulation study of sensor-less vector control of SPMSM using Cubature Kalman filter (CKF) based rotor position and speed estimator. The use of CKF for speed and position estimation of PMSM is reported in recently literature. However, the results are not substantial. Position and speed estimation errors are quite large, also the estimated speed and position contain considerably large ripple. In the present work the performance of CKF observer in terms of position and speed estimation accuracy is significantly improved. The dynamic performance of the drive throughout the entire speed zone under variable load torque is also improved.

中文翻译：

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基于CKF的无传感器矢量控制永磁同步电机驱动的性能评估

在整个速度范围内对表面贴装永磁同步电机 (SPMSM) 进行无传感器矢量控制是 PMSM 驱动中的一个具有挑战性的问题。本文解决了这个控制问题，并介绍了使用基于古巴卡尔曼滤波器 (CKF) 的转子位置和速度估计器的 SPMSM 无传感器矢量控制的设计和仿真研究。最近的文献报道了 CKF 用于 PMSM 速度和位置估计的使用。然而，结果并不显着。位置和速度估计误差相当大，而且估计的速度和位置包含相当大的纹波。在目前的工作中，CKF 观测器在位置和速度估计精度方面的性能得到了显着提高。