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基于模块化通信的SCARA机器人数字孪生仿真系统构建方法

Construction Method of a Digital-Twin Simulation System for SCARA Robots Based on Modular Communication.

作者信息

Zhang Zihan, Guo Qihui, Grigorev Maksim A, Kholodilin Ivan

机构信息

Department of Electric Drive, Mechatronics and Electromechanics, South Ural State University, Chelyabinsk 454080, Russia.

出版信息

Sensors (Basel). 2024 Nov 9;24(22):7183. doi: 10.3390/s24227183.

Abstract

Due to the high cost of robots, the algorithm testing cost for physical robots is high, and the construction of motion control programs is complex, with low operation fault tolerance. To address this issue, this paper proposes a low-cost, cross-platform SCARA robot digital-twin simulation system based on the concept of digital twins. This method establishes a 5D architecture based on the characteristics of different platforms, classifies data and integrates functions, and designs a data-processing layer for motion trajectory calculation and data storage for a virtual-reality robot. To address the complexity of data interaction under different cross-platform communication forms, an editable, modular, cross-platform communication system is constructed, and various control commands are encapsulated into simple programming statements for easy invocation. Experimental results showed that, based on modular communication control, users can accurately control data communication and synchronous motion between virtual and physical models using simple command statements, reducing the development cost of control algorithms. Meanwhile, the virtual-robot simulation system, as a data mapping of the real experimental platform, accurately simulated the physical robot's operating state and spatial environment. The robot algorithms tested using the virtual simulation system can be successfully applied to real robot platforms, accurately reproducing the operating results of the virtual system.

摘要

由于机器人成本高昂,物理机器人的算法测试成本很高,并且运动控制程序的构建复杂,操作容错性低。为了解决这个问题,本文基于数字孪生的概念提出了一种低成本、跨平台的SCARA机器人数字孪生仿真系统。该方法基于不同平台的特性建立了一个5D架构,对数据进行分类并集成功能,为虚拟现实机器人设计了一个用于运动轨迹计算和数据存储的数据处理层。为了解决不同跨平台通信形式下数据交互的复杂性,构建了一个可编辑、模块化、跨平台的通信系统,并将各种控制命令封装成简单的编程语句以便于调用。实验结果表明,基于模块化通信控制,用户可以使用简单的命令语句精确控制虚拟模型与物理模型之间的数据通信和同步运动,降低了控制算法的开发成本。同时,虚拟机器人仿真系统作为真实实验平台的数据映射,准确地模拟了物理机器人的运行状态和空间环境。使用虚拟仿真系统测试的机器人算法可以成功应用于真实机器人平台,准确再现虚拟系统的运行结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0623/11598733/770a698bc68b/sensors-24-07183-g001.jpg

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