Robust stiffness control for constrained robots under model uncertainties

Haifa Mehdi, O. Boubaker
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引用次数: 1

Abstract

In this paper, we present an improved proof of global asymptotic stability of constrained robotic systems under model uncertainties. The control objective is to make the robotic manipulator's end effector to track the reference trajectories in the task space. The proposed approach is an enough straightforward method without force and position control separation. It's based on the Lyapunov Hamiltonian method and the stiffness control strategy. The robustness of the suggested robust controller is proved via simulation results.
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模型不确定性约束下机器人的鲁棒刚度控制
本文给出了模型不确定性条件下约束机器人系统全局渐近稳定性的改进证明。控制目标是使机器人末端执行器在任务空间中跟踪参考轨迹。该方法不需要力控和位控分离,是一种简单易行的方法。该方法基于李雅普诺夫哈密顿方法和刚度控制策略。仿真结果证明了所提鲁棒控制器的鲁棒性。
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