首页> 外文会议>IEEE/RSJ International Conference on Intelligent Robots and Systems;IROS 2009 >Experimental study on dynamic reactionless motions with DLR's humanoid robot Justin
【24h】

Experimental study on dynamic reactionless motions with DLR's humanoid robot Justin

机译:DLR类人机器人贾斯汀动态无反应运动的实验研究

获取原文
获取外文期刊封面目录资料

摘要

The capabilities of DLR's multi-DOF humanoid robot Justin are extended with the help of a dynamic torque control component for base reaction minimization. Since the mobile base of the robot comprises springs, reactions induced by arm/torso motions lead to vibrations and deteriorate the performance. The control component is derived from the equation of motion of the robot, represented as an underactuated system, and partitioned into a ¿driven¿ subsystem (one of the arms), and a ¿compensating¿ subsystem (the other arm, with or w/o torso contribution). The control component is then embedded into the existing sophisticated controller structure of Justin, as a feedforward component, with additional control signals from an augmented PD feedback controller. It was possible to obtain satisfactory performance with a very ¿soft¿ compensatory subsystem. The experimental results confirmed the potential of this model-based approach for use in a complex multi-DOF system. As far as we know, this is the first time that a dynamic-coupling compensating controller is applied to a real system of such complexity, utilizing thereby a torque control interface.
机译:DLR的多自由度人形机器人贾斯汀(Justin)的功能借助动态扭矩控制组件得以扩展,从而使基础反应最小化。由于机器人的活动基座包括弹簧,因此手臂/躯干运动引起的反作用会导致振动并降低性能。控制组件是从机器人的运动方程式得出的,表示为欠驱动系统,并划分为一个“驱动”子系统(两个臂之一)和一个“补偿”子系统(另一个臂,具有或无躯干贡献)。然后,将控制组件作为前馈组件嵌入到Justin现有的复杂控制器结构中,并带有来自增强型PD反馈控制器的附加控制信号。通过一个非常软的补偿子系统,可以获得令人满意的性能。实验结果证实了这种基于模型的方法在复杂的多自由度系统中使用的潜力。据我们所知,这是第一次将动态耦合补偿控制器应用于这种复杂的实际系统,从而利用转矩控制接口。

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