Adaptive robust control of nonholonomic mobile manipulators with an application to condenser cleaning robotic systems
Yaonan Wang, Zhiqiang Miao, Li Liu, Yanjie Chen
- Year
- 2013
- Citations
- 2
Abstract
In this paper, the motion control of nonholonomic mobile manipulators in presence of uncertainties and external disturbances is considered. An adaptive robust controller is proposed to overcome model uncertainties and bounded disturbances. The control design is developed without imposing any restriction on the system dynamics, and ensures the entire state of the system to asymptotically converge to the desired trajectory. The stability of the closed-loop system is provided using Lyapunov stability synthesis. Simulation results on a condenser cleaning robot are presented to show the effectiveness of the proposed scheme.
Keywords
Related papers
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