首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >Coupling dynamic modelling of a flexible manipulator driven by servo joint using experimental identification method
【24h】

Coupling dynamic modelling of a flexible manipulator driven by servo joint using experimental identification method

机译:使用实验识别方法耦合伺服接头驱动的柔性机械手的动态建模

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, the coupling dynamic model of a flexible manipulator driven by servo joint is established using experimental identification method. The dynamic model of the servo joint is proposed, which consists of a direct current servo motor, a harmonic gear reducer and a servo controller. By fitting the experimental data for the forward and inverse rotation of the motor, the coulomb friction constant and viscosity friction coefficient are obtained. Then, two transform function models that represent the system coupling dynamics are proposed. The input and output variables for one model are the control voltage of the servo controller and the angular displacement of motor. And for the other model, the input and output are the control voltage of the servo controller and the strain output measured by the strain gauges. Using the Pseudo-random binary sequence (PRBS) as the input signal, both the driven model of the servo joint and the vibration model of the flexible manipulator are identified by experimental identification. Experimental results show that the two identified models are in good agreement with the dynamic response of the experimental setup, both for the PRBS and sinusoidal excitation signals. Accordingly, the coupling dynamic models of the proposed system are obtained.
机译:本文采用实验鉴定法建立了伺服接头驱动的柔性机械手的耦合动态模型。提出了伺服接头的动态模型,其包括直流伺服电动机,谐波减速器和伺服控制器。通过拟合用于电动机的前向和逆旋转的实验数据,获得库仑摩擦恒定和粘度摩擦系数。然后,提出了两个代表系统耦合动态的变换函数模型。一个模型的输入和输出变量是伺服控制器的控制电压和电动机的角位移。并且对于其他模型,输入和输出是伺服控制器的控制电压和由应变仪测量的应变输出。使用伪随机二进制序列(PRB)作为输入信号,通过实验识别识别伺服接头的驱动模型和柔性机械手的振动模型。实验结果表明,两种识别的模型与实验设置的动态响应非常一致,用于PRB和正弦激励信号。因此,获得了所提出的系统的耦合动态模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号