On Integrating Uncertainty Estimator Into PI Control for a Class of Nonlinear Uncertain Systems

被引:12
作者
Xue, Wenchao [1 ,2 ]
Chen, Sen [3 ]
Zhao, Cheng [4 ]
Huang, Yi [1 ,2 ]
Su, Jianbo [5 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
[3] Shaanxi Normal Univ, Sch Math & Informat Sci, Xian 710119, Peoples R China
[4] Shandong Univ, Res Ctr Math & Interdisciplinary Sci, Qingdao 266237, Peoples R China
[5] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
关键词
Active disturbance rejection control (ADRC); disturbance estimation and rejection; extended state observer (ESO); nonlinear uncertain dynamical systems; PI control; tuning laws; REJECTION; DESIGN;
D O I
10.1109/TAC.2020.3024475
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Proportional-integral (PI) control/loop has been widely used in numerous industrial processes. This article focuses on integrating uncertainty estimator into PI controller for better robustness and transient performance against uncertain nonlinear coupling dynamics and time-varying disturbances. First, the descriptions for the sizes of three kinds of uncertainties in a class of multi-input-multi-output nonlinear systems are discussed. Then, the tuning laws of the typical uncertainty estimator, i.e., extended state observer (ESO), are quantitatively presented to ensure the stability of closed-loop systems. More importantly, it is shown that the desired transient performance of tracking error can be ensured by tuning the bandwidth of ESO. In addition, it is proven that much stronger disturbance rejection at low frequency can be achieved by integrating the uncertainty estimator module. The simulation results for calibration-free robotic eye-hand coordination system show the effectiveness of the proposed method.
引用
收藏
页码:3409 / 3416
页数:8
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