Design Parallel Linear PD Compensation by Fuzzy Sliding Compensator for Continuum Robot
Amin Jalali, Farzin Piltan, Mohammadreza Hashemzadeh, Fatemeh BibakVaravi, Hossein Hashemzadeh
- Year
- 2013
- Citations
- 21
- Access
- Open access
Abstract
In this paper, a linear proportional derivative (PD) controller is designed for h ighly nonlinear and uncertain system by using robust factorization approach. To evaluate a linear PD methodology two type methodologies are introduced; sliding mode controller and fu zzy logic methodology. This research aims to design a new methodology to fix the position in continuum robot manipulator. PD method is a linear methodology which can be used for highly nonlinear system's (e.g., continuum robot man ipulator). To estimate this method, new parallel fuzzy slid ing mode controller (PD.FSMC) is used. This estimator can estimate most of nonlinearity terms of dynamic parameters to achieve the best performance. The asymptotic stability of fuzzy PD control with firstorder sliding mode compensation in the parallel structure is proven. For the parallel structure, the fin ite time convergence with a super-twisting second-order sliding-mode is guaranteed.
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