Open AccessRobust disturbance rejection controller for systems with uncertain parameters
Author(s) -
Zachi Alessandro R.L.,
Correia Carlos Alberto M.,
A. Filho Jair Luiz,
Gouvêa Josiel A.
Publication year - 2019
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2018.5291
Subject(s) - control theory (sociology) , parametric statistics , inverted pendulum , disturbance (geology) , computer science , stability (learning theory) , robustness (evolution) , controller (irrigation) , observer (physics) , robust control , control engineering , set (abstract data type) , control system , control (management) , mathematics , engineering , artificial intelligence , nonlinear system , machine learning , chemistry , biology , paleontology , biochemistry , quantum mechanics , agronomy , programming language , statistics , physics , electrical engineering , gene
This work proposes a mathematical solution for plants with full set of uncertain parameters which is based on the active disturbance rejection control method. This method has been studied for three decades and its main characteristic is the use of an extended state observer to estimate the non‐measurable signals of the plant. However, the application of the basic methodology requires the exact knowledge of the system control gain, which is difficult to measure in the case of parametric uncertainties. Recently, some advances have been discussed in the literature. Some results have revealed the capability of them of rejecting the unknown input disturbance and of ensuring the stability of closed‐loop transfer functions, even in the case of unknown order and/or relative degrees. However, such proposals have not been effective for large level of parametric uncertainties. The idea of the present work is to relax the requirement of exact knowledge of plant parameters by proposing modifications in the control structure. Mathematical analysis show that the proposed modification does not affect the original purpose of output tracking. The performance of the proposed strategy is compared with other schemes by using numerical simulations. In addition, experimental results on a real cart‐pendulum system are presented.