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永磁同步电机无位置估计误差的滑模观测器无速度传感器控制方法
引用本文:徐晨栋,尹泉,罗慧,夏阳,刘毅.永磁同步电机无位置估计误差的滑模观测器无速度传感器控制方法[J].航空动力学报,2019,46(12):1-7.
作者姓名:徐晨栋  尹泉  罗慧  夏阳  刘毅
作者单位:华中科技大学 人工智能与自动化学院,湖北 武汉430074,华中科技大学 人工智能与自动化学院,湖北 武汉430074,华中科技大学 人工智能与自动化学院,湖北 武汉430074,华中科技大学 人工智能与自动化学院,湖北 武汉430074,华中科技大学 人工智能与自动化学院,湖北 武汉430074
基金项目:国家自然科学基金项目(61374049);中央高校基本科研业务费专项资金项目(2017KFYXJJ174)
摘    要:传统滑模观测器(SMO)无速度传感器控制方法在电机的运行速度出现较大变化时,对位置的估计会出现稳态误差。为了消除位置的估计误差,提出了一种带有反动电势修正的SMO无速度传感器控制方法。反电动势的修正律基于永磁同步电机(PMSM)的dq轴电流模型。即使电机运行在速度大幅波动的情况下,也能保持位置估计误差为零,且该方法计算增量较小,易于实现。将所提出的方法在1台1.5 kW的PMSM上进行了仿真和试验,结果验证了位置估计误差能有效地收敛至零。

关 键 词:永磁同步电机    无速度传感器控制    无估计误差  滑模观测器  反电动势修正
收稿时间:2019/8/29 0:00:00

No Estimation Error Speed Sensorless Control Method for PermanentMagnet Synchronous Motor Based on Sliding Mode Observer
XU Chendong,YIN Quan,LUO Hui,XIA Yang and LIU Yi.No Estimation Error Speed Sensorless Control Method for PermanentMagnet Synchronous Motor Based on Sliding Mode Observer[J].Journal of Aerospace Power,2019,46(12):1-7.
Authors:XU Chendong  YIN Quan  LUO Hui  XIA Yang and LIU Yi
Institution:School of Artificial Intelligence and Automation, Huazhong University of Science andTechnology, Wuhan 430074, China,School of Artificial Intelligence and Automation, Huazhong University of Science andTechnology, Wuhan 430074, China,School of Artificial Intelligence and Automation, Huazhong University of Science andTechnology, Wuhan 430074, China,School of Artificial Intelligence and Automation, Huazhong University of Science andTechnology, Wuhan 430074, China and School of Artificial Intelligence and Automation, Huazhong University of Science andTechnology, Wuhan 430074, China
Abstract:In traditional sliding mode observer (SMO) speed sensorless control method, a steadystate error would exist in position estimation when the speed of the motor fluctuated greatly. In order to eliminate the estimation error, a back electromotive force (backEMF) corrector was proposed based on the dqaxis current model of permanent magnet synchronous motor (PMSM). In this way, the position estimation error was kept at zero even under large speed fluctuation. Moreover, the proposed method was easy to implement and brought about small increment in calculation cost. Numerical simulations and experiments were carried out on a 1.5 kW PMSM. The results demonstrate that the proposed method can effectively estimate rotor position and the steadystate estimation error converges to zero.
Keywords:permanent magnet synchronous motor (PMSM)  speed sensorless control  no estimation error  sliding mode observer (SMO)  backEMF correction
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