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Optimal trajectory planning of a two-link flexible robot arm based on genetic algorithm for residual vibration reduction

机译:基于遗传算法进行遗传算法的双连杆柔性机器人臂的最佳轨迹规划

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In this paper, the optimal trajectory planning method for a two-link flexible robot arm for the residual vibration reduction is proposed. The two-link flexible robot arm consists of a first rigid link and a second flexible link The first and second joint angular velocities are described by use of four cubic polynomial functions. Then, applying both the constraint conditions and the initial and final conditions of the joint angular velocities, the trajectory of the two-link flexible robot arm is expressed by use of the four unknown parameters. Then, the fitness function of the genetic algorithm for the residual vibration reduction of the second flexible link is defined using the four unknown parameters as the genes, and the optimal trajectory planning algorithm is constructed by use of the genetic algorithm. Furthermore, the numerical calculations and the experiments have been carried out, and it is confirmed that the residual vibrations can be reduced remarkably.
机译:在本文中,提出了一种用于残余振动减小的双连杆柔性机器人臂的最佳轨迹规划方法。双连杆柔性机器人臂由第一刚性连杆和第二柔性连杆组成,通过使用四个立方多项式函数来描述第一和第二关节角速度。然后,应用约束条件和关节角速度的初始和最终条件,双连杆柔性机器人臂的轨迹通过使用四个未知参数表示。然后,使用作为基因的四个未知参数来定义用于第二柔性链路的残余减振的遗传算法的适应性函数,并且通过使用遗传算法构建最佳轨迹规划算法。此外,已经进行了数值计算和实验,并且证实可以显着降低残留振动。

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