Coordinated Manipulation and Joint Torque Optimization of Three Branches Robot
Zhang Qiu
- 发表年份
- 2004
- 引用次数
- 3
摘要
For the coordinated movement of three branches robot, the method of separating influence coefficient is used to separate the Jacobian matrix and inertia matrix of each branch of the robot. The Jacobian matrix and inertia matrix of the whole robot system may be reconstituted by separating the influence coefficient. So the kinematics and dynamics equations can be set up. The method of multiplier penalty function is utilized to optimize the least joint driving moment of the three branches robot. The singular value decomposition of matrix may be avoided, and the calculational stability may be improved. Iteration is used to calculate the question and to simplify the solving process.
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