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Dynamics and vibration-suppression control of flexible-payload manipulator systems.

机译:柔性有效载荷机械手系统的动力学和振动抑制控制。

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摘要

Recently, there has been a growing interest in manipulating, transporting and positioning flexible payloads (for example, metal sheets) in various industrial applications, such as robotic assembly of automobile sheet-metal body parts. The system tackled in this thesis consists of a rigid robot manipulator and a piece of flexible sheet metal that is grasped at several points by the robot gripper. A major concern related to the performance of such a system is the vibration of the payload and its effect on the robot position. This vibration has to be eliminated before the payload can be precisely positioned for further processing on it. Thus, the main objective of this thesis is to develop an effective robot control strategy for payload vibration suppression that is practical in implementation and robust against model uncertainties.; Prior to developing a control scheme, it is useful to obtain an accurate and practical dynamics model of the system. To achieve this, a new method is presented in this thesis for modeling the entire robot-payload system. Using this dynamic model, the vibration controllability issue is examined in order to configure the robot-payload system properly so that all the critical vibration modes of the payload are controllable. Explicit criteria are provided to determine the configurations that result in uncontrollable vibration, and hence these situations can be avoided at the system design stage.; A feedforward/feedback control strategy is proposed in this thesis for payload vibration suppression. The feedforward loop consists of an input-preshaping technique and a computed-torque scheme. A new approach is developed for designing an input shaper. It utilizes a structure in which the modal forces of payload vibration are shaped in parallel. This approach relaxes the requirement of dynamic linearity in traditional shaper designs, and for the nonlinear robot-payload system, it improves the shaper's performance in vibration suppression. Given a precise dynamic model, the feedforward control can effectively achieve vibration-free movements of the payload. To enhance the control robustness against model uncertainties, a model-independent feedback loop is proposed, in which a robust vibration-suppression control is developed by using the reaction force of payload vibration at the robot gripper. The feedback control can accomplish further reduction of any residual vibration on the payload due to model uncertainties. This proposed control strategy is practical as it does not require direct measurement of payload vibration, and also has a simple structure with low on-line computational load.; Extensive numerical simulations are presented in this thesis to validate the developed dynamic models and to illustrate the effectiveness and robustness of the vibration-suppression control strategy. Rigorous stability and performance analyses of the control strategies are also conducted.
机译:近来,在各种工业应用中,例如在汽车钣金车身零件的机器人组装中,对柔性有效载荷(例如,金属板)的操纵,运输和定位越来越引起人们的兴趣。本文涉及的系统由一个刚性机器人操纵器和一块柔性钣金组成,该柔性钣金在多个位置被机器人抓手抓紧。与这种系统的性能有关的主要问题是有效载荷的振动及其对机器人位置的影响。必须先消除这种振动,然后才能将有效负载精确定位以对其进行进一步处理。因此,本发明的主要目的是开发一种有效的抑制有效载荷振动的机器人控制策略,该策略在实施中是实用的并且对模型不确定性具有鲁棒性。在制定控制方案之前,获得准确而实用的系统动力学模型非常有用。为此,本文提出了一种对整个机器人有效载荷系统进行建模的新方法。使用此动态模型,研究了振动可控性问题,以便正确配置机器人有效负载系统,从而可控制有效载荷的所有关键振动模式。提供了明确的标准来确定导致无法控制的振动的配置,因此可以在系统设计阶段避免这些情况。本文提出了一种有效载荷振动抑制的前馈/反馈控制策略。前馈回路由输入预成形技术和计算转矩方案组成。开发了一种用于设计输入整形器的新方法。它利用了有效载荷振动的模态力平行成形的结构。这种方法放宽了传统成型机设计中对动态线性的要求,对于非线性机器人有效负载系统,它提高了成型机的减振性能。给定精确的动力学模型,前馈控制可以有效地实现有效载荷的无振动运动。为了提高针对模型不确定性的控制鲁棒性,提出了一种与模型无关的反馈回路,其中利用机器人夹具上的有效载荷振动的反作用力来开发鲁棒的振动抑制控制。由于模型不确定性,反馈控制可以进一步减少有效载荷上的任何残余振动。所提出的控制策略是实用的,因为它不需要直接测量有效载荷振动,并且具有简单的结构,具有低的在线计算负荷。本文进行了广泛的数值模拟,以验证所开发的动力学模型并说明振动抑制控制策略的有效性和鲁棒性。还对控制策略进行了严格的稳定性和性能分析。

著录项

  • 作者

    Zhou, Tong.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Engineering Mechanical.; Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;人工智能理论;
  • 关键词

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