基于hamilton优化的机械臂鲁棒控制

Youngjin Choi, W. Chung, Y. Youm
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引用次数: 10

摘要

虽然针对不确定系统的非线性H/sub /spl / in//控制理论已经发展起来,但它很少应用于机器人操纵臂。推导了机器人机械臂的哈密顿运动方程和哈密顿矩阵(Riccati方程),得到了最优控制器。利用H/sub /spl // /框架,给出了包含机器人动力学模型中存在不确定性时任务过程中位置和动量误差的性能度量的L/sub / 2/范数。在实际应用中,提出了Riccati方程端点的平稳解,并通过仿真对其进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust control of manipulators using Hamiltonian optimization
Although nonlinear H/sub /spl infin// control theory for systems with uncertainties has been developed, it has been rarely applied to robot manipulators. We derive Hamiltonian equations of motion and Hamiltonian matrix (Riccati equation) for robot manipulators to get an optimal controller. Using the H/sub /spl infin// framework, we specify the L/sub 2/ norm of the performance measure, which consists of the position and momentum error during the task when there are uncertainties in the dynamic model of robot manipulators. For practical application, a stationary solution of the Riccati equation for the end-point is suggested and evaluated by simulation.
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