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Adaptive Integral Sliding Mode Force Control of Robotic Manipulators with Parametric Uncertainties and Time-Varying Loads

机译:具有参数不确定性和时变负载的机器人机械手的自适应整体滑模力控制

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摘要

In order to overcome the problem of unmodeled dynamics, design of accurate control strategies for trajectory tracking or force control is necessary. Starting from the mathematical modeling stage, it’s necessary to select, design and implement robust control strategies to eliminate this problem. On the other side, for different kinds of applications, time varying loads are important to be considered because of different applications of robotics in industry and other fields. For these reasons, in this study, the design of an adaptive integral sliding mode force controller for robotic manipulators is proposed. An adaptive control law is designed by selecting an integral sliding surface and by using a Lyapunov function. The respective adaptive gains are obtained taking into account the parametric uncertainties that represent the unmodeled system’s dynamics which are found in the inertia, mass and center of mass terms of the robot. Taking into account the robustness of the adaptive sliding mode force control, the time varying loads or external disturbances that can be found in the end effector and on the robot structure that can occur in a specific task are suppressed satisfactorily. The simulation results demonstrated that the adaptive integral sliding mode controller ensures the closed loop stability of the system while following the end effector time varying profile.
机译:为了克服动力学未建模的问题,需要设计用于轨迹跟踪或力控制的精确控制策略。从数学建模阶段开始,有必要选择,设计和实施强大的控制策略来消除此问题。另一方面,对于不同类型的应用,由于工业和其他领域中机器人技术的不同应用,必须考虑时变负载。由于这些原因,在这项研究中,提出了一种用于机器人机械手的自适应整体滑模力控制器的设计。通过选择一个整体的滑动表面并使用Lyapunov函数来设计自适应控制律。考虑到代表未建模系统动力学的参数不确定性,获得了各自的自适应增益,这些不确定性可以在机器人的惯性,质量和质心中找到。考虑到自适应滑模力控制的鲁棒性,可以令人满意地抑制在末端执行器和机器人结构中可能发生的随时间变化的负载或外部干扰。仿真结果表明,自适应积分滑模控制器在遵循末端执行器时变曲线的同时,确保了系统的闭环稳定性。

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