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Adaptive cerebellar model articulation controller-nonlinear control system for flexible link manipulator

机译:柔性连杆机械手的自适应小脑模型关节控制器-非线性控制系统

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This paper deals with the problem of controlling flexible link manipulators on the dynamic phase of the trajectory. A flexible beam/arm is an appealing option for civil and military applications, such as space-based robot manipulators. However, flexibility brings with it unwanted oscillations and severe chattering which may even lead to an unstable system. To tackle these challenges, a novel control architecture scheme is presented. First, a nonlinear controller based on the equation of motion of the robot is elaborated. Its aim is to produce a stable tracking control and dump the vibration of the links. Then, an adaptive cerebellar model articulation controller is implemented to compensate for structured and unstructured uncertainties. Efficiency of the new controller obtained is tested facing an important variation of the dynamic parameters of the manipulator. Simulation results on a dynamic trajectory with a high acceleration/deceleration ratio show the effectiveness of the proposed control strategy.
机译:本文研究了在轨迹的动态相位上控制柔性连杆操纵器的问题。对于民用和军事应用(例如天基机器人操纵器),柔性梁/臂是一种有吸引力的选择。但是,灵活性会带来不必要的振荡和剧烈的颤动,甚至可能导致系统不稳定。为了解决这些挑战,提出了一种新颖的控制架构方案。首先,阐述了基于机器人运动方程的非线性控制器。其目的是产生稳定的跟踪控制并消除链接的振动。然后,采用自适应小脑模型关节控制器来补偿结构性和非结构性不确定性。测试所获得的新控制器的效率,以应对机械手动态参数的重要变化。在具有高加减速比的动态轨迹上的仿真结果表明了所提出的控制策略的有效性。

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