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Determination of minimum-time maneuvers for a robotic manipulator using numerical optimization methods

机译:使用数值优化方法确定机器人的最小时间操纵

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The productivity of automated production lines depends on the velocities of operating robot manipulators. Hence, time-optimal control for working cycles of robot manipulators are of decisive importance. In this paper, the minimum-time retractionof a robot arm, subject to gravity and suspended on a prismatic-rotational joint, is investigated. Iterative integration methods using a B-spline representation for the actuator force and torque, a Runge-Kutta integration method, and a sequentialquadratic programming optimization algorithm are used to calculate the time-optimal control and trajectories. Results show that nonlinear gravity and centrifugal effects are exploited very effectively, to obtain minimum-time maneuvers from an initial to a final state. These states also determine the switching structures of the control. It is demonstrated that even the simple retraction of a robot arm produces unexpectedly complex time-optimal solutions.
机译:自动化生产线的生产率取决于运行中的机械手的速度。因此,对机器人操纵器的工作周期进行时间最优控制至关重要。在本文中,研究了在重力作用下并悬吊在棱柱旋转关节上的机械臂的最短时间缩回。使用B样条表示执行机构力和转矩的迭代积分方法,Runge-Kutta积分方法和顺序二次规划优化算法用于计算时间最优控制和轨迹。结果表明,非常有效地利用了非线性重力和离心效应,以获得从初始状态到最终状态的最短时间机动。这些状态还确定控件的开关结构。事实证明,即使简单地收回机械臂,也会产生意想不到的复杂的时间最优解。

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