ADAPTIVE NON-LINEAR TRACKING CONTROL OF KINEMATICALLY REDUNDANT ROBOT MANIPULATORS1
Enver Tatlıcıoğlu, Michael L. McIntyre, D.M. Dawson, Ian D. Walker
- 发表年份
- 2008
- 引用次数
- 26
摘要
Past research efforts have focused on the end-effector tracking control of redundant robots because of their increased dexterity over their non-redundant counterparts. This work utilizes an adaptive full-state feedback quaternion-based controller developed in [2] and focuses on the design of a general sub-task controller. This sub-task controller does not affect the position and orientation tracking control objectives, but instead projects a preference on the configuration of the manipulator based on sub-task objectives such as the following: singularity avoidance, joint limit avoidance, bounding the impact forces, and bounding the potential energy.
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