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Intelligent robotic machining with force control.

机译:具有力控制的智能机器人加工。

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摘要

The research deals with robot force control for material removal applications. Critical issues and methodologies to improve robotic machining performance with industrial robots were introduced. For existing robotic systems, the inherent lower stiffness of articulated robots resulted in a lower productivity, unacceptable quality and instability of the machining process. In this study, an effective force control strategy, including material removal rate (MRR) control and real-time deformation compensation, was initiated and implemented on industry robots.; This research was the first attempt to address robotic machining process from both robotic control and machining process point of view. The designed robot force controller functioned as an implicit hybrid position/force controller, which can control the process force in a certain direction while maintaining the position accuracy in other directions.; An adaptive PI controller was developed to regulate the machining force considering the force model nonlinearities. As a result, a much higher feed speed, instead of a conservative feed speed based on maximal depth-of-cut and width-of-cut position, can be adopted. Based on the robot stiffness model, a real-time deformation compensation algorithm was created to achieve better surface finish. Experimental results showed that higher productivity as well as better surface accuracy can be achieved, indicating a promising and practical use of industrial robots for machining applications that was not possible at present.; Chatter phenomena in robotic machining process were also investigated. The robot structure and cutting process were treated as a closed loop system. Theoretical analysis and experimental results showed that due to the coupling of robot structure and inherent low structure stiffness, the mode coupling chatter was very often the most stringent limitation for the robotic machining process. Guidelines for process configuration and cutting parameter selection were proposed to avoid vibration.
机译:该研究涉及材料去除应用中的机器人力控制。介绍了提高工业机器人的机械加工性能的关键问题和方法。对于现有的机器人系统,铰接式机器人固有的较低刚度导致生产率降低,质量无法接受以及加工过程不稳定。在这项研究中,一种有效的力控制策略,包括材料去除率(MRR)控制和实时变形补偿,已经开始并在工业机器人上实施。这项研究是从机器人控制和加工过程的角度出发解决机器人加工过程的首次尝试。所设计的机器人力控制器用作隐式混合位置/力控制器,该控制器可以控制某个方向上的过程力,同时保持其他方向上的位置精度。考虑到力模型的非线性,开发了一种自适应PI控制器来调节加工力。结果,可以采用更高的进给速度,而不是基于最大切削深度和切削宽度位置的保守进给速度。基于机器人刚度模型,创建了实时变形补偿算法以实现更好的表面光洁度。实验结果表明,可以实现更高的生产率和更好的表面精度,这表明工业机器人在机械加工应用中是有希望的和实际的应用,而这是目前尚不可能的。还研究了机器人加工过程中的颤振现象。机器人的结构和切割过程被视为闭环系统。理论分析和实验结果表明,由于机器人结构的耦合和固有的低结构刚度,模式耦合颤动通常是机器人加工过程中最严格的限制。为避免振动,提出了工艺配置和切削参数选择指南。

著录项

  • 作者

    Pan, Zengxi.;

  • 作者单位

    Stevens Institute of Technology.;

  • 授予单位 Stevens Institute of Technology.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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