Stable Gain Adaptation for Time-Delay Control of Robot Manipulators
Junyoung Lee, Pyung Hun Chang, Kap-Ho Seo, Maolin Jin
- 发表年份
- 2019
- 引用次数
- 3
摘要
This paper proposes adaptive gain dynamics for time-delay control (TDC) of robot manipulators. The TDC is a widely employed approach for control of robot manipulators because it is model-independent, simple, and robust. Recently, however, it is reported that TDC with excessively high gains causes unstable or oscillated responses. To overcome this limitation, this study designs adaptive gain dynamics for the TDC using a sliding variable and an acceptance layer. When the gain dynamics automatically adjusts a control gain according to system states, the adaptive control gain moves into a stable range. Therefore, the TDC with the proposed gain dynamics becomes adaptive and stable. The effectiveness of the proposed gain dynamics has been verified by simulations and experiments.
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