Open AccessBounded decoupling control for flexible‐joint robot manipulators with state estimation
Author(s) -
Cheng Xin,
Liu Huashan
Publication year - 2020
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.2019.1007
Subject(s) - control theory (sociology) , backstepping , bounded function , decoupling (probability) , computer science , robot , controller (irrigation) , control engineering , singular perturbation , adaptive control , engineering , mathematics , control (management) , artificial intelligence , mathematical analysis , agronomy , biology
This study proposes a bounded controller for flexible‐joint robot manipulators that only requires state measurements of joint motors. Firstly, the singular perturbation theory is used to decouple the dynamics model of the flexible‐joint robot manipulator into slow and fast subsystems. Then, a saturated adaptive scheme combining backstepping control and radial basis function neural network approximator is applied to make the controller bounded and simplify the control law for the slow subsystem, and a new filtering operator is used in the fast subsystem to enhance the overall performance. Furthermore, the extended Kalman filter is involved to eliminate the states measurements of links in the closed‐loop tracking control. Finally, the stability of the whole system is analysed and the effectiveness of the proposed approach is verified.