Optimal trajectories of robot arms minimizing constrained actuators and travelling time
Guy Bessonnet, J.P. Lallemand
- 发表年份
- 2002
- 引用次数
- 14
摘要
Dynamic optimization of the motion of a robot arm is carried out using the Pontryagin maximum principle. A mixed performance index involving travel time and bounded actuators is minimized to obtain a near-minimum traveling time and continuous output. One can avoid, in that case, actuating effort jumps and arm jerks. A full dynamic model formulated with Hamiltonian variables is used. This model, together with the optimality conditions, leads to a two-point boundary value problem which is solved by combining a gradient algorithm and a shooting method.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991