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Solving the inverse dynamic control for low cost real-time industrial robot control applications

机译:解决低成本实时工业机器人控制应用的逆动态控制

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This work deals with the real-time robot control implementation. In this paper, an algorithm for solving Inverse Dynamic Problem based on the Gibbs-Appell equations is proposed and verified. It is developed using mainly vectorial variables, and the equations are expressed in a recursive form, it has a computational complexity of O(n). This algorithm will be compared with one based on Newton-Euler equations of motion, formulated in a similar way, and using mainly vectors in their recursive formulation. This algorithm was implemented in an industrial PUMA robot. For the robot control a new and open architecture based on PC had been implemented. The architecture used has two main advantages. First it provides a total open control architecture, and second it is not expensive. Because the controller is based on PC, any control technique can be programmed and implemented, and in this way the PUMA can work on high level tasks, such as automatic trajectory generation, task planning, control by artificial vision, etc.
机译:这项工作涉及实时机器人控制实现。提出并验证了一种基于吉布斯-阿佩尔方程的动力学问题逆求解算法。它主要使用向量变量进行开发,方程式以递归形式表示,其计算复杂度为O(n)。该算法将与基于牛顿-欧拉运动方程的算法进行比较,并以类似的方式制定该算法,并且在其递归公式中主要使用向量。该算法是在工业PUMA机器人中实现的。对于机器人控制,已经实现了基于PC的新的开放式体系结构。使用的体系结构有两个主要优点。首先,它提供了完全开放的控制架构,其次,它并不昂贵。由于控制器基于PC,因此可以编程和实施任何控制技术,并且PUMA可以处理高级任务,例如自动轨迹生成,任务计划,人工视觉控制等。

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