Disturbance-observer-based tracking controller for a flexible-joint robotic manipulator with full-state constraints
Linran Tian, Yang Gao, Zhongcai Zhang
- 发表年份
- 2022
- 引用次数
- 4
摘要
In this study, a nonlinear tracking controller is designed for a flexible-joint (FJ) robotic manipulator system subject to full-state constraints and external disturbances. First, a nonlinear disturbance observer (NDO) is introduced to guarantee that the respective disturbance can be estimated asymptotically. Then, state-dependent function (SDF) transformations are used to convert the original state-constrained system into a new unconstrained system. Subsequently, a NDO-based tracking controller is proposed to enable the output tracking error to converge to a predefined compact set that can be adjusted to be arbitrarily small. The boundedness of all the closed-loop system signals is rigorously proved. Finally, simulation results are presented that show the effectiveness of the proposed control algorithm.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002