A mismatched composite disturbance observer‐based adaptive tracking controller for robotic manipulators
Zhongtao Liu, Weikai He, Xiangbao Li, Cungen Liu, Huaizhi Shao, Peng Fu
- 发表年份
- 2024
- 引用次数
- 5
- 访问权限
- 开放获取
摘要
Abstract The paper is devoted to the adaptive tracking control based on the mismatched disturbance observer for motor‐driven robotic manipulators. A novel mismatched disturbance observer is introduced, which does not make bounded derivative assumptions on mismatched disturbances in the robotic manipulator system. Additionally, a new adaptive tracking controller for a motor‐driven robotic manipulator based on the mismatched disturbance observer is designed, which guarantees that all closed‐loop signals are globally uniformly bounded and the tracking error is asymptotic stable. Finally, the simulation comparisons are carried out between the proposed and existing control strategies to demonstrate the superiority of the developed controller.
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