约束机器人自适应力/运动控制研究

L. Liu, Y. Han, R. Lingarkar, Naresh K. Sinha, M. Elbestawi
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引用次数: 17

摘要

提出了一种同时控制受限机器人运动轨迹和末端执行器接触力的自适应控制算法。该算法的发展是基于N.H. McClamroch和D. Wang(1988)的非线性坐标变换。采用J.J. Slotine和W. Li(1987)基于无源性的控制方案,将滑动面扩展到包含接触力误差,以保证闭环系统的渐近稳定性。该方案采用递推最小二乘法对未知参数进行自适应。结果表明,参数自适应和控制律的实现只需要测量关节位置、速度和接触力。并证明了该自适应控制算法的全局收敛性。对一个执行轮廓跟踪任务的双连杆弯头直接驱动机器人进行了仿真,以证明该方法的适用性
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On adaptive force/motion control of constrained robots
An adaptive control algorithm for controlling the trajectory of motion and the contact force of the end-effector for constrained robots simultaneously is presented. The development of the algorithm is based on the nonlinear coordinate transformation of N.H. McClamroch and D. Wang (1988). The passivity-based control scheme of J.J. Slotine and W. Li (1987) is adopted, where the sliding surface is expanded to include the contact force error, to guarantee the asymptotic stability of the closed-loop system. In the proposed scheme, the unknown parameters are adapted using the recursive least-squares method. It is shown that the implementation of the parameter adaptation and the control law requires only the measurement of the joint positions, velocities, and contact force. The global convergence of the proposed adaptive control algorithm is also established. A two-link elbow direct-drive robot performing a contour-following task is simulated to demonstrate the applicability of this approach.<>
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