Motion modelling and error compensation of a cable-driven continuum robot for applications to minimally invasive surgery
Fei Qi, Feng Ju, Dongming Bai, Yaoyao Wang, Bai Chen
- Year
- 2018
- Citations
- 23
Abstract
BACKGROUND: The continuum robot is widely used in minimally invasive surgery (MIS) because of its flexibility, dexterity and safety. However, because of the friction in the transmission system, backlash, and shape error from nominal kinematics, the tracking accuracy of the continuum robot is low, which may damage the tissues and organs during surgery. A novel error compensation method is presented to improve control. METHODS: Considering the nonlinear friction and coupling effects, the static model of a robot is derived based on the principle of virtual work. A modified Capstan equation including bending rigidity and nonlinear friction is established to analyze the transmission characteristics of a cable-pulley system. RESULTS: The results of the experiments conducted with a continuum robot indicate the validity of the proposed compensation method. CONCLUSIONS: The established model and the proposed compensation method can be used for the cable-driven continuum robot to guarantee safety and stability in MIS.
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