Stability of active disturbance rejection control for uncertain systems: A Lyapunov perspective

被引:64
作者
Aguilar-Ibanez, Carlos [1 ]
Sira-Ramirez, Hebertt [2 ]
Angel Acosta, Jose [3 ]
机构
[1] Inst Politecn Nacl, Ctr Invet Comp, Mexico City 07738, DF, Mexico
[2] CINVESTAV IPN, Dept Ingn Elect, Mexico City 07300, DF, Mexico
[3] Univ Seville, Escuela Tecn Super Ingn, Dept Ingn Sistemas & Automat, Seville, Spain
关键词
active disturbance rejection control; GPI high-gain observer; Lyapunov method; differentially flat system; NONLINEAR-SYSTEMS; OUTPUT REGULATION; STABILIZATION; EQUATION; DESIGN;
D O I
10.1002/rnc.3812
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this work, we introduce a simple stability analysis to justify, under some suitable assumptions, the active disturbance rejection control method, used in the feedback regulation of a substantially uncertain plant. A criterion is obtained that allows us to define under what conditions closed-loop stability can be assured. When the plant is mostly unknown, the criterion allows us to guarantee exponential convergence for the output-feedback regulation problem, in the presence of a constant external perturbation, and practical stability when the external perturbation and the tracking reference signal are both time-varying. In the latter case, the confinement error can be made as small as desired. To carry out the corresponding stability analysis, we derive the tracking error equation, and the observation error equation. To decouple these error equations, we use the Sylvester equation. Finally, we applied the direct Lyapunov method to analyze the corresponding convergence of the observation error and of the tracking error. Copyright (c) 2017 John Wiley & Sons, Ltd.
引用
收藏
页码:4541 / 4553
页数:13
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