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

机译:基于操作员方法的微手机器人手臂鲁棒非线性控制设计

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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:这项工作着重于通过使用操作员方法的鲁棒性的微手机器人手臂非线性控制设计。在提出的控制系统中,我们可以控制机器人手臂的端点位置并获得所需的微型手力来执行任务,并且使用可以在不同的正负压力下产生双向卷曲运动的微型气动卷曲软致动器来控制机器人手臂的末端位置。展开微手的手指。详细地,为了根据所涉及的外部环境或任务来连续地控制机器人手臂的精确位置和三个手指的期望力,本文提出了一种基于基于算子的鲁棒右互质分解方法的双环反馈控制架构。首先,设计了内环反馈控制方案来控制机器人手臂的角位置,设计了操作员控制器和跟踪控制器,并得出了鲁棒的稳定性和跟踪条件。其次,将复杂稳定的内环和三个手指的微型手分别视为两个右分解,提出了一种基于算子的鲁棒右共质数分解方法来控制手指力的鲁棒控制方案,并讨论了鲁棒跟踪条件。 。最后,通过实验和仿真结果验证了所提出控制系统的有效性。

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