Intelligent automation of industrial machines
Shivansh Choudhary, Nishant Jha
- 发表年份
- 2002
- 引用次数
- 2
摘要
In most industrial processes like deburring, milling, grinding, etc., the machine tools or robotic manipulators are generally moved at a predetermined speed relative to the work-piece. Their speed is generally not responsive to the amount of material the tools have to remove off the work-piece. In this paper this conventional mode of operation is going to be referred to as "brute force mode" of operation. A number of other control methods under titles like "Impedance Control", "Force-Velocity Control", "Force-Velocity-Position Control", "Hybrid Control", "Compliance Control", "Force-Trajectory Control", etc. have been proposed, studied and experimented with. They are all somewhat responsive to the environment. Practically all of them apply a relatively compliant force (some times referred to as a force control) tangential to the desired work-piece contour, and relatively stiff control (often referred to as trajectory control) is applied normal to the desired contour. In the current paper a schema for an intelligent control of robotic manipulators is being described. The schema emulates the response of an intelligent operator to changing environmental conditions. We are in the process of simulating the proposed schema on computer.< <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
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002