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Jerk-bounded manipulator trajectory planning: design for real-time applications

机译:急动边界的机械手轨迹规划:实时应用程序设计

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An online method for obtaining smooth, jerk-bounded trajectories has been developed and implemented. Jerk limitation is important in industrial robot applications, since it results in improved path tracking and reduced wear on the robot. The method described herein uses a concatenation of fifth-order polynomials to provide a smooth trajectory between two way points. The trajectory approximates a linear segment with parabolic blends trajectory. A sine wave template is used to calculate the end conditions (control points) for ramps from zero acceleration to nonzero acceleration. Joining these control points with quintic polynomials results in a controlled quintic trajectory that does not oscillate, and is near time optimal for the jerk and acceleration limits specified. The method requires only the computation of the quintic control points, up to a maximum of eight points per trajectory way point. This provides hard bounds for online motion algorithm computation time. A method for blending these straight-line trajectories over a series of way points is also discussed. Simulations and experimental results on an industrial robot are presented.
机译:已经开发并实现了一种在线方法,该方法用于获取平滑的,急速的轨迹。抖动限制在工业机器人应用中很重要,因为它可以改善路径跟踪并减少机器人的磨损。本文描述的方法使用五阶多项式的级联来提供两个路径点之间的平滑轨迹。该轨迹近似于具有抛物线混合轨迹的线性段。正弦波模板用于计算从零加速度到非零加速度的斜坡的结束条件(控制点)。将这些控制点与五次多项式结合在一起,将产生一个受控的五次运动轨迹,该轨迹不会发生振动,并且对于指定的加速度和加速度极限而言是近乎最佳的。该方法仅需要计算五次控制点,每个轨迹航路点最多可以计算八个点。这为在线运动算法的计算时间提供了硬性限制。还讨论了在一系列航路点上混合这些直线轨迹的方法。介绍了在工业机器人上的仿真和实验结果。

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