A Parallelized Input Matching LMS Adaptive Filter for the Rejection of Spatially Cyclic Disturbances

被引：14

作者：

Liu, Qingquan ^{[1
]}

Huo, Xin ^{[1
]}

Liu, Kang-Zhi ^{[2
]}

Zhao, Hui ^{[1
]}

机构：

[1] Harbin Inst Technol, Control & Simulat Ctr, Harbin 150080, Peoples R China

[2] Chiba Univ, Dept Elect & Elect Engn, Chiba 2638522, Japan

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2023年 / 70卷 / 10期

基金：

日本学术振兴会; 黑龙江省自然科学基金;

关键词：

Torque; Impedance matching; Friction; Thermal stability; Stability analysis; Adaptive filters; Time-frequency analysis; Disturbance rejection; input matching; least mean square (LMS) adaptive filter; Lyapunov stability analysis; parallelized controllers; reference tracking; ROTARY MACHINES; TRACKING; PERFORMANCE; MODEL;

D O I：

10.1109/TIE.2022.3224161

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Spatially cyclic disturbances exist widely in rotating machines. They usually have fixed spatial cycles rather than constant time periods, which affect the stationarity of angular speed tracking. An input matching least mean square (LMS) adaptive filter (IMLMS-AF) is proposed to cope with the effects of spatially cyclic disturbances. The IMLMS-AF sets a part of the inputs as spatially cyclic signals for disturbance rejection and forms another part as a time-dependent function for reference tracking. Furthermore, an updated law and convergence of the pending weights are given. The system's stability is proved by combining the instantaneous gradient with Lyapunov theory. Moreover, the IMLMS-AFs are parallelized to reject disturbance with multiple components and reference tracking. The effectiveness and superiority of the proposed control method are verified and compared with other methods by simulations and experiments.

引用

页码：10536 / 10545

页数：10

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