Position estimation method of permanent magnet synchronous motor based on adaptive filter

被引：0
|
作者：
Wang H. [1 ]
Pan W.-L. [1 ]
Wu X. [1 ]
机构：
[1] College of Electrical and Information Engineering, Hunan University, Changsha
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2019年 / 23卷 / 11期
关键词：
Adaptive filter; Bilinear recursive least squares; Interior permanent magnet synchronous motor; Inverter nonlinearity; Position sensorless control;
D O I：
10.15938/j.emc.2019.11.007
中图分类号：
学科分类号：
摘要：
For the sensorless control of the interior permanent magnet synchronous motor (IPMSM) based on the back electromotive force (EMF) model method, the inverter nonlinearity and spatial harmonics of flux linkages give rise to (6k±1)th harmonics in the estimated back EMF, which consequently introduces (6k) th harmonic errors into the estimated rotor position and deteriorate estimation accuracy, thus a position estimation method with bilinear recursive least squares (BRLS) adaptive filter was proposed. Back-EMF was obtained through a sliding mode observer. Then according to the principle of signal enhancement, the BRLS adaptive filter can track and filter out the specified harmonics in the estimated back EMF through an incessant online adjustment of the adaptive filter coefficient to diminish those (6k)th harmonic errors. Experimental results show that the proposed adaptive filter position estimation method has fast convergence speed and high precision, can reliably suppress harmonics and improve the position estimation accuracy. © 2019, Harbin University of Science and Technology Publication. All right reserved.
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页码：51 / 59
页数：8
相关论文
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