Control of robot manipulator using a fuzzy model-based sliding mode control scheme
Jian-Shiang Chen, Chao-Shu Liu, Y Wang
- Year
- 2002
- Citations
- 18
Abstract
A sliding mode control scheme based on fuzzy model for the control of robot manipulator is proposed. The motivation behind this scheme is to construct a fuzzy model to describe the robust behavior of a conventional sliding mode control scheme to achieve fast and accurate tracking control of robot manipulators. The proposed scheme can alleviate chatter without sacrificing the inherent robustness of the sliding mode scheme through a nonlinear continuous approximation as compared to the so-called boundary-layer approach. For validation, experiments are performed in a five-axis ITRI type-A robot manipulator. The results show that both alleviation of chatter and robust performance are achieved.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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