Enhancement of Vibration Suppression for Multi-Link Flexible Robots Using Direct Parameter Adaptation

J. Cheong, W. Chung, Y. Youm
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Abstract

The precise modeling of multi-link flexible robot is hard to obtain and even if we can get it, it is difficult to use in on-line control tasks. Due to these reasons, a simplified model is often used to describe the robot dynamics instead of using complex dynamic model. In the simplified model, however, parameter mismatch and structural modeling error are inevitable. To compensate these uncertainties, an adaptive control is formulated in this paper after separating the system into rigid and flexible subsystems. A simple direct parameter update rule is presented considering the flexible subsystem. Different from most of adaptive control schemes in multi-link flexible robots, which is indirect model-independent approach, the proposed adaptive control is a direct one and good for fast suppression of vibration of uncertain and untuned systems. We verify the effectiveness of the proposed algorithm through experiments.
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利用直接参数自适应增强多连杆柔性机器人的振动抑制
多连杆柔性机器人的精确建模很难得到,即使能得到,也很难用于在线控制任务。由于这些原因,通常使用简化模型来描述机器人的动力学,而不是使用复杂的动力学模型。但在简化模型中,参数失配和结构建模误差是不可避免的。为了补偿这些不确定性,本文将系统划分为刚性子系统和柔性子系统,建立了自适应控制。针对柔性子系统,提出了一种简单的直接参数更新规则。不同于大多数多连杆柔性机器人的自适应控制方法是间接模型无关的,本文提出的自适应控制方法是一种直接的自适应控制方法,能够快速抑制不确定和非调谐系统的振动。通过实验验证了算法的有效性。
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