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接触网吊柱安装重载机器人动态分析与结构优化

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针对接触网吊柱安装重载机器人高精度、大负载、高可靠性的工作特性,在运动学和静力学方面进行结构设计和优化并不能完全满足需求,必须通过掌握机器人的动态特性,面向动态特性对机器人整体结构进行结构优化研究.首先,基于Kane方法建立了机器人的刚柔耦合动力学模型,在ANSYS有限元分析软件中对典型位姿下的机器人本体结构进行模态仿真分析和谐响应分析,通过模态仿真的振型分析发现机器人大臂横向扭转振动以及关节柔性是影响动态特性的主要原因.基于动态仿真和谐响应结果,对大臂进行基于响应曲面法的多目标优化设计以提高整机的动态性能.结果表明机器人的整机低阶固有频率从5.81 Hz提升至14.43 Hz,整机的动态性能得到较大的改善,验证了结构优化的有效性.
Dynamic Analysis and Structural Optimization of Heavy-Duty Robots for Installing Overhead Contact Wire Suspension Columns
The structural design and optimization in terms of kinematics and statics cannot fully meet the working characteristics of high-precision,heavy load,and high reliability for the installation of heavy-duty robots on overhead contact wire suspension columns.It is necessary to master the dynamic characteristics of the robot and conduct structural optimization research on the overall structure of the robot based on dynamic characteristics.Firstly,a rigid flexible coupling dynamic model of the robot was established based on the Kane method.Modal simulation analysis and harmonic response analysis were conducted on the robot body structure under typical poses in ANSYS finite element analysis software.Through modal simulation vibration mode analysis,it was found that the lateral torsional vibration of the robot arm and joint flexibility are the main reasons affecting the dynamic characteristics.Based on dynamic simulation and harmonious response results,a multi-objective optimization design based on response surface method is carried out on the boom to improve the dynamic performance of the entire machine.The results show that the low order natural frequency of the robot has been increased from 5.81 Hz to 14.43 Hz,and the dynamic performance of the entire machine has been greatly improved,verifying the effectiveness of structural optimization.

contact networkheavy-duty robotdynamic characteristicsfinite element simulationstructural optimization

郑铭

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中国铁建电气化局集团有限公司 北京 100043

接触网 重载机器人 动态特性 有限元仿真 结构优化

2024

铁道建筑技术
中国铁道建筑总公司

铁道建筑技术

影响因子:0.539
ISSN:1009-4539
年,卷(期):2024.(9)