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Intelligent coordinate control over cooperative micro robots for nondestructive testing of large steel plates

机译:用于大型钢板无损检测的协同微型机器人的智能坐标控制

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Multiple, lightweight micro-robots configured to work in a cooperative environment are considered in many applications of Non destructive testing (NDT) where they replace a single large robotic inspection system. Their main advantages over the single larger system are that they are more mobile, do not require a heavy umbilical cord and can be programmed to work in a multi-robot environment using an intelligent software agent. Effective intelligent control of these robots is very challenging because it has to be adaptable to suit different application needs. This paper reports the development of an intelligent co-ordinate control over mobile micro-robots to perform multitasking for non-destructive testing of steel plates. The knowledge based agent uses the forward chaining inference engine that enables control of robot movements on a steel plate. The path for a rectangular shaped work area has been generated by developing an algorithm that follows required robot movements for steel plate inspection. An algorithm for the division of work area for cooperating robots has also been developed. The algorithms are tested in MATLAB simulation before testing in real-time. The results show considerable improvements for the micro robots over a single large inspection robot.
机译:在无损检测(NDT)的许多应用中考虑了配置为在协作环境中工作的多个轻型微型机器人,在这些应用中,它们取代了单个大型机器人检查系统。与单个大型系统相比,它们的主要优点是它们移动性强,不需要笨重的脐带,并且可以使用智能软件代理编程为在多机器人环境中工作。对这些机器人进行有效的智能控制非常具有挑战性,因为它必须适应各种不同的应用需求。本文报告了对移动微型机器人的智能坐标控制的开发,该机器人可以执行多任务处理以对钢板进行无损检测。基于知识的代理使用前向链接推理引擎,该引擎能够控制机器人在钢板上的移动。矩形工作区域的路径是通过开发一种算法来生成的,该算法遵循钢板检查所需的机器人运动。还开发了用于协作机器人的工作区域划分的算法。在实时测试之前,先在MATLAB仿真中对算法进行测试。结果表明,与单个大型检查机器人相比,微型机器人有了很大的改进。

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