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首页> 外文期刊>Turkish Journal of Electrical Engineering and Computer Sciences >Design of adaptive compensators for the control of robot manipulators robust to unknown structured and unstructured parameters
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Design of adaptive compensators for the control of robot manipulators robust to unknown structured and unstructured parameters

机译:控制对未知结构化和非结构化参数具有鲁棒性的机器人操纵器的自适应补偿器设计

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摘要

In this paper, a new adaptive-robust control approach forrobot manipulators is developed. The adaptive-robust control law isnot only robust to unknown structured parameters but also robust tounknown unstructured parameters such as unstructured joint frictionand disturbances. The bounded disturbances and unstructured model aretaken into account in a dynamic model and it is assumed that thestructured and unstructured parameters are unknown. The structuredand unstructured parameters are distinguished between parameters andthese parameters are treated separately. Next, new parameterestimation functions are developed for each of the 2 uncertaintygroups. After that, the developed dynamic adaptive compensators forthe unknown structured and unknown unstructured parameters arecombined and the control law is formulated by the combination of thecompensators, including the proportional-derivative feedforwardcontrol. Based on the Lyapunov theory, the uniform ultimateboundedness of the tracking error is obtained.
机译:本文提出了一种新型的机器人机械手自适应鲁棒控制方法。自适应鲁棒控制定律不仅对未知的结构参数具有鲁棒性,而且对未知的非结构性参数(例如非结构性联合摩擦和扰动)也具有鲁棒性。在动力学模型中考虑了有界扰动和非结构化模型,并假设结构化和非结构化参数未知。区分结构化参数和非结构化参数,并分别处理这些参数。接下来,为两个不确定性组中的每一个开发新的参数估计函数。之后,将针对未知结构化参数和未知非结构化参数开发的动态自适应补偿器进行组合,并通过补偿器的组合制定控制律,包括比例微分前馈控制。基于李雅普诺夫理论,获得了跟踪误差的统一极限界。

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