Comparing two online tip-over avoidance algorithms for mobile manipulators
Khalil Alipour, A. Hasanpour, Parisa Daemy
- 发表年份
- 2014
- 引用次数
- 6
摘要
In this paper, a real-time intelligent algorithm to avoid tipping-over of redundant wheeled mobile manipulators, taking into account the interactions between the arm and the mobile-base, is presented. To this end, the Moment-Height Stability (MHS) criterion is utilized to predict the toppling down occurrence and to trigger the suggested online stability recovery algorithm. To enhance the dynamic stability of robotic system a Stability Margin Metric-Increment Function (SMMIF) is proposed by which the most effective motion parameters are found to improve the robot dynamic stability. Next a fuzzy logic-based planner is utilized to design the stabilizing movement. Considering a planar mobile manipulator system, the response of proposed algorithm is analyzed and compared with a previous algorithm which is based on the Force-Angle (FA) Stability margin measure. The obtained simulation results indicate efficient performance of the proposed algorithm as compared to the previously proposed one.
关键词
相关论文
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