肌腱驱动连续体机器人的鲁棒控制

A. Mousa, S. Khoo, M. Norton
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引用次数: 7

摘要

本文首次提出了基于Cosserat杆理论的连续体机器人鲁棒控制方法。连续体机器人由可变形的弹性骨架构成,具有高度的非线性和复杂性。目前的控制方法倾向于通过对机器人结构的假设来克服这一障碍,旨在开发既准确又适用于实时控制应用的模型。这种方法的缺点是维持这些建模假设限制了机器人的预期性能。在这里,我们通过利用基于Cosserat杆的动态模型来克服这些缺点,该模型不受这些假设的影响,并且能够适应脊柱的一般变形。这种通用模型在鲁棒控制设计中尚未得到应用,因为实时控制应用的仿真计算成本很高。在本文中,我们通过采用一种称为广义- $\alpha$方法的复杂数值方法来解决昂贵的计算问题。在控制部分,设计了基于滑模控制的鲁棒控制器。为了避免执行张力的剧烈变化,在设计过程中考虑了控制输入饱和。仿真算例验证了所设计方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Control of Tendon Driven Continuum Robots
In this paper we introduce the first robust control for tendon drevin continuum robots that are modelled by Cosserat Rod theory. Constituted from deformable elastic backbones, Continuum robots are highly nonlinear and complex. Current control approaches tend to overcome this obstacle by adopting assumptions to the robot's structure aiming to develop models that are both accurate and applicable for real time control applications. The drawback of such approaches is that maintaining those modelling assumptions restricts the robots expected performance. Here, we overcome the drawbacks by utilizing a dynamic model based on Cosserat Rod that is free from those assumptions and capable of accommodating the backbone general deformations. This general model has not been been used in robust control design before as its computationally expensive to simulate for real time control applications. In this paper, we solved the expensive computation problem by employing a sophisticated numerical method known as the Generalized– $\alpha$ method. For the control part, a robust controller is designed based on sliding mode control. To avoid drastic changes in the actuating tension, control input saturation is considered in the design process. Simulation examples are included to verify the effectiveness of the proposed designed scheme.
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