Adaptive Control of Robot Manipulators in Constrained Motion—Controller Design
Bin Yao, Masayoshi Tomizuka
- 发表年份
- 1995
- 引用次数
- 46
摘要
Adaptive motion and force control of manipulators in constrained motion in the presence of parametric uncertainties both in the robot and contact surfaces are considered in this paper. A new constrained dynamic model is obtained to account for the effect of contact surface friction. An adaptive law is suggested with unknown parameters updated by both the motion and force tracking errors to guarantee asymptotic motion and force tracking without any persistent excitation conditions to be satisfied. The suggested controller has the expected PI type force feedback control structure with a low proportional (P) force feedback gain. Detailed simulation results are given to show the effectiveness of the proposed 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