Dynamic Model and Motion Control of a Robotic Manipulator
Jinho Kim, Kevin Chen–Chuan Chang, Brian Schwarz, Andrew Lee, S. Andrew Gadsden, Mohammad Al‐Shabi
- 发表年份
- 2017
- 引用次数
- 13
- 访问权限
- 开放获取
摘要
This paper presents the dynamic modeling and motion control of a three-link rotary robotic manipulator, also known as an RRR robot. The Kinect motion capture system by Microsoft is used in conjunction with the manipulator. A camera is used to capture the motion of a user's arm and tracks certain angles made by parts of the arm. We consider a pinhole camera model to generate reference angles in our simulations. These desired angles are fed into the controller and are used by the RRR robot in an effort to copy the movement of the user. A proportionalderivative (PD) controller is developed and applied to the manipulator for improved trajectory tracking. The RRR robot is dynamically modeled and the results of the proposed control strategy demonstrate good trajectory following. Researchers can implement this system as a relatively inexpensive starting point for their activities.
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