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Study on Vibration of Heavy-Precision Robot Cantilever Based on Time-varying Glowworm Swarm Optimization Algorithm

机译:基于时变萤光群优化算法的重型精密机器人悬臂振动研究

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A method of terminal vibration analysis based on Time-varying Glowworm Swarm Optimization algorithm is proposed in order to solve the problem that terminal vibration of the large flexible robot cantilever under heavy load precision.The robot cantilever of the ballastless track is used as the research target and the natural parameters of the flexible cantilever such as the natural frequency, the load impact and the axial deformation is considered. Taking into account the change of the minimum distance between the glowworm individuals, the terminal vibration response and adaptability could meet. According to the Boltzmann selection mechanism, the dynamic parameters in the motion simulation process are determined, while the influence of the natural frequency and the load impact as well as the axial deformation on the terminal vibration is studied. The method is effective and stable, which is of great theoretical basis for the study of vibration control of flexible cantilever terminal.
机译:提出了一种基于时变萤光群优化算法的终端振动分析方法,以解决大柔性机器人悬臂的终端振动在重负荷精度下的问题。无碴轨道的机器人悬臂用作研究目标和柔性悬臂的自然参数,如固有频率,负载撞击和轴向变形。考虑到萤火虫个体之间的最小距离的变化,终端振动响应和适应性可以满足。根据Boltzmann选择机制,确定了运动仿真过程中的动态参数,而自然频率和负载冲击的影响以及终端振动上的轴向变形。该方法是有效且稳定的,这对于柔性悬臂末端的振动控制研究是良好的理论依据。

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