TY - JOUR
T1 - Stability of active disturbance rejection control for uncertain systems
T2 - A Lyapunov perspective
AU - Aguilar-Ibañez, Carlos
AU - Sira-Ramirez, Hebertt
AU - Acosta, José Ángel
N1 - Publisher Copyright:
Copyright © 2017 John Wiley & Sons, Ltd.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
KW - GPI high-gain observer
KW - Lyapunov method, differentially flat system
KW - active disturbance rejection control
UR - http://www.scopus.com/inward/record.url?scp=85018260324&partnerID=8YFLogxK
U2 - 10.1002/rnc.3812
DO - 10.1002/rnc.3812
M3 - Artículo
SN - 1049-8923
VL - 27
SP - 4541
EP - 4553
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
IS - 18
ER -