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Robust nonlinear control design of a robot arm with micro-hand using operator approach

机译:使用操作方法的微手的机器人手臂的强大非线性控制设计

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This work focuses on a robust nonlinear control design of a robot arm with micro-hand by using operator approach. In proposed control system, we can control the endpoint position of robot arm and obtain the desired force of micro-hand to perform a task, and a miniature pneumatic curling soft actuator which can generate bidirectional curling motions in different positive and negative pressures is used to develop the fingers of micro-hand. In detail, to control successively the precise position of robot arm and the desired force of three fingers according to the external environment or task involved, this paper proposes a double-loop feedback control architecture using operator-based robust right coprime factorization approach. First, the innerloop feedback control scheme is designed to control the angular position of the robot arm, the operator controllers and the tracking controller are designed, and the robust stability and tracking conditions are derived. Second, the complex stable innerloop and micro-hand with three fingers are viewed as two right factorizations separately, a robust control scheme using operator-based robust right coprime factorization approach is presented to control the fingers forces, and the robust tracking conditions are also discussed. Finally, the effectiveness of the proposed control system is verified by experimental and simulation results.
机译:这项工作侧重于使用操作员方法具有微手的机器人手臂的强大非线性控制设计。在提出的控制系统中,我们可以控制机器人臂的端点位置,并获得所需的微手力以执行任务,并且可以在不同正和负压中产生双向卷曲运动的微型气动卷曲软致动器开发微手的手指。详细地,为了连续控制机器人臂的精确位置和根据所涉及的外部环境或任务的三个手指的所需力,本文提出了一种使用基于操作员的强大的协调性系数分解方法的双回路反馈控制架构。首先,设计内部反馈控制方案以控制机器人臂的角度位置,设计器控制器和跟踪控制器被设计,并且导出了鲁棒稳定性和跟踪条件。其次,分别观察到具有三个手指的复杂稳定的内端和微手,呈现使用基于操作员的鲁棒权利的协调分解方法的鲁棒控制方案来控制手指力,并且还讨论了鲁棒的跟踪条件。最后,通过实验和仿真结果验证了所提出的控制系统的有效性。

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