A Discrete-Time Equivalent-Input-Disturbance Approach Based on Joint Minimum-Variance Unbiased Disturbance and State Estimation

被引：0

作者：

Xie, Mingyuan ^{[1
,2
,3
,4
]}

She, Jinhua ^{[5
]}

Liu, Zhen-Tao ^{[1
]}

Sato, Daiki ^{[4
]}

Kawata, Seiichi ^{[1
]}

机构：

[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China

[2] Hubei Key Lab Adv Control & Intelligent Automat Co, Wuhan 430074, Peoples R China

[3] Minist Educ, Engn Res Ctr Intelligent Technol Geoexplorat, Wuhan 430074, Peoples R China

[4] Inst Integrated Res IIR, Inst Sci Tokyo, Yokohama 2268503, Japan

[5] Tokyo Univ Technol, Sch Engn, Hachioji 1920982, Japan

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2025年 / 21卷 / 02期

基金：

日本学术振兴会;

关键词：

Disturbance rejection; equivalent input disturbance (EID); minimum-variance unbiased (MVU) estimate; simultaneous input and state estimation; REJECTION; SYSTEM;

D O I：

10.1109/TII.2024.3488794

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article develops a discrete-time equivalent-input-disturbance (EID) approach that rejects disturbances for a plant. A control system based on the approach includes a simultaneous EID and state estimation algorithm, which is newly presented by applying the minimum-variance unbiased estimation technique. Compared with a conventional EID estimator, the presented algorithm does not need to design a filter, which avoids the degradation of the performance of a control system due to improper selection of the filter parameters. Three theorems are presented to guarantee the stability of the presented algorithm. In addition, a method of designing a control law employing the state and EID estimates is explained. Speed control experiments for a two-mass experimental system demonstrate the validity of the approach.

引用

页码：1843 / 1852

页数：10

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