Comparative Study Between Sensorless Vector Control of PMSM Drives based on MRAS, SMO and EKF Observers

B. Bendjedia, Saad Chouireb
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引用次数: 2

Abstract

The electric motor is the heart of the electric vehicle powertrain system and for many industries drive. wherefore, the improving of control performance is has been widely interesting specially in Permanent Magnet Synchronous Motor (PMSM), It makes us thinking by sensorless control as a replacement of speed sensor control in order to reduce costs and avoid problems caused by faults of the speed/position sensor, This paper deals with a comparative study among three observers strategies based on vector control technique, They are including Model Reference Adaptive System (MRAS) observer, Extended Kalman Filter (EKF) and sliding mode observer (SMO), The main objective is to ensure good performances in case of absence or failure the speed sensor for electric vehicle virtual scenario in precaution case, with the comparation obtained results can verify how the competence for each one in same conditions.
基于MRAS、SMO和EKF观测器的永磁同步电机无传感器矢量控制的比较研究
电动机是电动汽车动力系统的核心,也是许多行业的驱动部件。因此,提高控制性能已成为人们广泛关注的问题,特别是在永磁同步电机(PMSM)中,为了降低成本和避免速度/位置传感器故障带来的问题,人们开始思考用无传感器控制来替代速度传感器控制。本文对基于矢量控制技术的三种观测器策略进行了比较研究,它们是模型参考自适应系统(MRAS)观测器,扩展卡尔曼滤波(EKF)和滑模观测器(SMO),主要目的是保证在电动汽车虚拟场景中速度传感器在缺失或失效情况下的良好性能,通过比较得到的结果可以验证它们在相同条件下的能力如何。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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