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Upper Bounding Estimation for Robustness to the Parameter Uncertainty with Trigonometric Function in Trajectory Control of Robot Arms

机译:三角函数在机械臂轨迹控制中对参数不确定性的鲁棒性的上界估计

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摘要

In this paper, a new robust control law is considered for controlling robot manipulators subjected to uncertainties. The control law is derived as a result of analytical solution from the Lyapunov function, thus stability of the uncertain system is guaranteed. Apart from previous studies, uncertainty bound and adaptation gain matrix are updated in time with the estimation law to control the system properly and uncertainty bound is determined using a trigonometric function of robot kinematics, inertia parameters and tracking error while adaptation gain matrix is determined using a trigonometric function of robot kinematics and tracking error. Application to a two-link robotic manipulator is presented and numerical simulations are included.
机译:在本文中,考虑了一种新的鲁棒控制律来控制不确定性的机器人操纵器。控制律是根据Lyapunov函数的解析解得出的,从而保证了不确定系统的稳定性。除先前的研究外,不确定性范围和自适应增益矩阵会根据估计规律及时更新,以正确控制系统,不确定性范围是使用机器人运动学,惯性参数和跟踪误差的三角函数确定的,而自适应增益矩阵是使用机器人的运动学函数确定的机器人运动学的三角函数和跟踪误差。介绍了在二连杆机器人操纵器中的应用,并包括了数值模拟。

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