arrow
返回

Multiple Discrete Adaptive Filter Based Position Error Reduction for Sensorless IPMSM Drives

delete2024-04-01
delete10
PRE
AI
吴轩 封面图
吴轩 (Xuan Wu)
Q
Qi Peng *
X
Xu Yu
T
Ting Wu
S
Shoudao Huang
H
Hesong Cui
DOI:10.1109/TIE.2023.3247741delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The inverter nonlinearity and the flux spatial harmonics will lead to noticeable $(6k \pm 1)\text{th}$ harmonics in the observed back electromotive force (EMF), causing $(6k)\text{th}$ pulsations in the rotor position estimation error and deteriorating the performance of sensorless interior permanent magnet synchronous motor (IPMSM) drives. To improve the sensorless IPMSM control accuracy, a multiple discrete adaptive filter (MDAF) embedded between sliding mode observer and normalized quadrature phase-locked loop is adopted to solve the above problem in this article. The MDAF consists of a fundamental extraction block and a harmonic cancellation block. Harmonic cancellation works similarly to fundamental extraction, simply by removing the dominant fifth and seventh harmonics from the distorted back-EMF in a frequency multiplicative manner. The proposed algorithm is designed directly in the discrete domain, avoiding the complex discretization process. The open-loop amplitude-frequency characteristic curves show that the method is able to achieve infinite gain exactly at the expected frequency, thus allowing closed-loop zero steady-state error tracking of the back-EMF and providing higher precision for harmonic estimation. The excellent performance of the suggested method is validated based on a 1.5 kW sensorless IPMSM control system.
Keyword:
Harmonic analysis
Power harmonic filters
Phase locked loops
Estimation
Rotors
Observers
Adaptive filters
Interior permanent magnet synchronous motor (IPMSM)
multiple discrete adaptive filter (MDAF)
phase-locked loop (PLL)
sensorless
sliding mode observer (SMO)

期刊

IEEE Transactions on Industrial Electronics 封面图
IEEE Transactions on Industrial Electronics
IF:
7.2
论文数:
1.8W
被引数:
9.8W

机构

H
Hunan First Normal University
学者数:
448
论文数: 494
被引数: 579
H
hunan university
学者数:
4.5W
论文数: 3.3W
被引数: 70
引用论文

引用论文

Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine
err2014-01-01
err0
PREAI
errJ. Kuiper; I. J. Marshall; B. C. Wallace; M. A. Swertz
err分享
err收藏
err分享
err收藏
学者 查看更多内容