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

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

作     者:Qicheng MEI Jinhua SHE Zhentao LIU Min WU 

作者机构:School of AutomationChina University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of EngineeringTokyo University of Technology 

出 版 物:《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期:2022年第65卷第8期

页      面:150-163页

核心收录:

学科分类:0808[工学-电气工程] 08[工学] 0802[工学-机械工程] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 080201[工学-机械制造及其自动化] 

基  金:supported in part by National Key R&D Program of China (Grant No. 2017YFB1300900) National Natural Science Foundation of China (Grant No. 61873348) Natural Science Foundation of Hubei Province, China, (Grant No. 2020CFA031) Wuhan Applied Foundational Frontier Project (Grant No. 2020010601012175) the 111 Project (Grant No. B17040) 

主  题:equivalent input disturbance (EID) linear matrix inequality (LMI) linear quadratic regulator (LQR) particle swarm optimization (PSO) periodic disturbance repetitive control 

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 *** 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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