New robust control strategy for module manipulators via sliding mode control with an extended state observer
Xinxin Shi, Shuaihua Liu, F Liu
- Year
- 2010
- Citations
- 10
Abstract
This paper proposes a robust control strategy for module manipulators based on sliding mode control (SMC) and an extended state observer (ESO). First, the nth-order system function is reduced into a first-order function whose argument is the sliding mode. Based on the generalized system, the structured and/or unstructured system non-linear uncertainties are lumped together to form a gross uncertainty which can be estimated by the ESO as an extended state in real time. Then, a controller of the generalized system is designed using SMC based on the extended state. The stability of the system is strictly analysed via the Lyapunov stability theorem approach. This method is applied to the control problem for robot manipulators. Trajectory tracking problems of the joints in a PowerCube robot manipulator are investigated with simulations to validate the analysis.
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