Estimation and compensation of periodic disturbance using internal-model-based equivalent-input-disturbance approach

被引：17
|
作者：
Mei, Qicheng [1 ,2 ]
She, Jinhua [3 ]
Liu, Zhentao [1 ,2 ]
Wu, Min [1 ,2 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China
[3] Tokyo Univ Technol, Sch Engn, Hachioji, Tokyo 1920982, Japan
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2022年 / 65卷 / 08期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
equivalent input disturbance (EID); linear matrix inequality (LMI); linear quadratic regulator (LQR); particle swarm optimization (PSO); periodic disturbance; repetitive control; ROBUST STABILIZATION; CONTROL-SYSTEM; STATE DELAY; REJECTION; FEEDBACK;
D O I：
10.1007/s11432-020-3192-5
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 paper presents an improved equivalent-input-disturbance (EID) approach to deal with periodic disturbances. The approach has two degrees of freedom. One is an improved EID compensator, in which a repetitive controller is inserted in this study. The other is a conventional servo system for a reference input. The improved EID compensator estimates and compensates for periodic disturbances without steady-state error, and the servo system ensures a satisfactory tracking performance. The improved EID compensator is designed using the linear-matrix-inequality (LMI) method. Three parameters in an LMI are selected using the particle-swarm-optimization (PSO) algorithm. The state-feedback gain of the conventional servo system is designed using the linear-quadratic-regulator (LQR) method. Simulation results of a rotational control system demonstrate the validity of the approach and its advantage over others.
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页数：14
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