{"title":"On the performance of improved extended state observer based control for uncertain systems with measurement noises","authors":"Yuying Guo, Youmin Zhang","doi":"10.1109/CCDC.2017.7978458","DOIUrl":null,"url":null,"abstract":"This paper investigates a new framework of extended state observer (ESO) based active disturbance rejection control (ADRC) design methodology for a class of uncertain nonlinear systems subject to measurement noises. First, based on nonlinear filtering function, an improved ESO is designed to estimate both state, and total disturbance which includes the internal uncertain nonlinear part and the external uncertain disturbance. Then, the explicit analysis about how to select nonlinear filtering function and the convergence analysis for the error dynamics are presented. Numerical simulation results are shown to demonstrate the effectiveness of the proposed method.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"10 1","pages":"7072-7077"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7978458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

针对一类受测量噪声影响的不确定非线性系统,研究了一种基于扩展状态观测器的自抗扰控制(ADRC)设计方法框架。首先,在非线性滤波函数的基础上,设计了一种改进的ESO,既能估计状态扰动,又能估计包括内部不确定非线性部分和外部不确定扰动的总扰动。然后,对非线性滤波函数的选择进行了明确的分析,并对误差动力学进行了收敛分析。数值仿真结果验证了该方法的有效性。
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On the performance of improved extended state observer based control for uncertain systems with measurement noises
This paper investigates a new framework of extended state observer (ESO) based active disturbance rejection control (ADRC) design methodology for a class of uncertain nonlinear systems subject to measurement noises. First, based on nonlinear filtering function, an improved ESO is designed to estimate both state, and total disturbance which includes the internal uncertain nonlinear part and the external uncertain disturbance. Then, the explicit analysis about how to select nonlinear filtering function and the convergence analysis for the error dynamics are presented. Numerical simulation results are shown to demonstrate the effectiveness of the proposed method.
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