SWARM
Robot path control based on PSO with fractional-order velocity
Adrian Łęgowski, Michał Niezabitowski
- 发表年份
- 2016
- 引用次数
- 11
摘要
The particle swarm optimization algorithm (PSO) is widely used and therefore it has been deeply studied in order to understand the parameters influence on the final results. In this paper we study the modification of the common approach. We decided to utilize method that alters the velocity update rule which now uses the fractional-order derivative. For derivative discretization we propose use of four conversion rules. We propose the application of this method to solving the inverse kinematics problem and therefore, to path control of an industrial redundant manipulator.
关键词
RobotControl theory (sociology)Computer sciencePath (computing)Order (exchange)Control (management)Artificial intelligence
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002