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Nonlinear PD plus sliding mode control with application to a parallel delta robot

机译:非线性PD加滑模控制及其在并联机器人中的应用。

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In this paper, a hybrid nonlinear proportional-derivative-sliding mode controller (NPD-SMC) is developed for the trajectory tracking of robot manipulators. The proposed controller combines the advantage of the easy implementation of NPD control and the robustness of SMC. The gains of PD control are tuned on-line in order to increase the convergence rate, whereas the SMC term is introduced to reject the external disturbances without requiring to know the system dynamics. The stability of the NPD-SMC is proved using Lyaponuv theorem, and it is demonstrated that the tracking error and the tracking error rate converge asymptotically to zero. Experiments are carried out on the parallel Delta robot to illustrate the effectiveness and robustness of the proposed approach. It is also shown the superiority of the NPD-SMC control over the NPD control and PD-SMC control.
机译:本文研究了一种混合非线性比例微分滑模控制器(NPD-SMC),用于机器人机械手的轨迹跟踪。所提出的控制器结合了NPD控制易于实现的优点和SMC的鲁棒性。 PD控制的增益可在线调整以提高收敛速度,而引入SMC项是为了拒绝外部干扰,而无需了解系统动态。利用Lyaponuv定理证明了NPD-SMC的稳定性,并证明了跟踪误差和跟踪误差率渐近收敛于零。在并行Delta机器人上进行了实验,以说明所提出方法的有效性和鲁棒性。还显示了NPD-SMC控制优于NPD控制和PD-SMC控制。

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