基于数字孪生的机械臂路径规划仿真分析

Simulation analysis of path planning of robotic arm based on digital twin

  • 摘要: 针对机械臂路径规划仿真实验真实产线障碍物环境无法还原、算法仿真验证真实性不够、车间产线人工示教操作繁琐、机械臂实时状态监测困难等问题,提出了基于数字孪生的机械臂路径规划仿真分析方法。研究了机械臂真实产线场景下的孪生环境构建方法,采用OPC UA通讯技术与Socket数据传输技术,打通了虚实机械臂运行数据的双向传输通道,并根据物理机械臂运行逻辑确定孪生机械臂各个运动部件的运动行为,通过行为逻辑顺序设计和脚本化,实现孪生与实体机械臂运动过程的精准映射;在此基础上,研究了动态椭圆约束采样RRT*-Connect的机械臂路径规划方法,并采用孪生环境下的网格碰撞体进行碰撞检测;最后,采用Socket和OPC UA技术对PLC与SDK中的控制变量进行绑定和赋值更新,完成机械臂的示教点更新,基于虚实同步技术进行实体机械臂运行监测。以某数控加工车间机械臂搬运装夹工件过程为例,验证了所提方法的可行性与有效性,为机械臂路径规划提供了新的仿真验证方法,提升了车间产线的智能化水平。

     

    Abstract: Aiming at the problems such as impossible to restore the obstacle environment of the real production line of the robot arm path planning simulation experiment, insufficient authenticity of the algorithm simulation verification, tedious manual teaching operation of the production line in the workshop, and difficult real-time status monitoring of the robot arm, a digital twin-based path planning simulation analysis method of the robot arm was proposed. The construction method of the twin environment under the real production line of the robot arm was studied. OPC UA communication technology and Socket data transmission technology were adopted to open up the bidirectional transmission channel of the virtual and real robot arm operation data. The movement behavior of each moving part of the twin robot arm was determined according to the operation logic of the physical robot arm. The precise mapping of the motion process between the twin and the solid manipulator is realized. On this basis, the path planning method of dynamic elliptic constrained sampling RRT*-Connect manipulator is studied, and the grid collider in the twin environment is used for collision detection. Finally, Socket and OPC UA technologies were used to bind and update the control variables in the PLC and SDK, complete the updating of the teaching point of the robot arm, and carry out the operation monitoring of the physical robot arm based on the virtual and real synchronization technology. The feasibility and effectiveness of the proposed method were verified by taking the process of handling and clamping workpiece by a mechanical arm in a CNC machining workshop as an example, which provided a new simulation verification method for the path planning of the mechanical arm and improved the intelligent level of the production line in the workshop.

     

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