Robust tracking control of kinematically redundant robot manipulators subject to multiple self-motion criteria
Erkan Zergeroğlu, Husnu Türker Sa̧hin, Ufuk Özbay, Umit Ali Tektas
- 发表年份
- 2006
- 引用次数
- 17
摘要
In this study, we consider a model based robust control scheme for kinematically redundant robot manipulators that also enables the use of self motion of the manipulator to perform multiple sub-tasks (like, maintaining manipulability, avoidance of mechanical joint limits and obstacle avoidance). The controller proposed ensures uniformly ultimately bounded end-effector and sub-task tracking despite the parametric uncertainty associated with the dynamic model. The controller design has been based on a Lyapunov type approach. Simulation results performed on a 3 link planar robot arm are presented to demonstrate the capabilities and the performance of the 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