Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (7): 1723-1752.doi: 10.16182/j.issn1004731x.joss.25-0230
• Invited Reviews • Previous Articles
Liu Yongkui1, Yang Kang1, Tuo Benben1, Pan Yaduo1, Wang Xinyu1, Wang Yihan1, Gong Yongqian1, Zhang Lin2, Wang Lihui3, Lin Tingyu4, Zi Bin1, Li Yuan5, You Wei6, Xu Xun7
Received:
2025-03-25
Revised:
2025-05-28
Online:
2025-07-18
Published:
2025-07-30
CLC Number:
Liu Yongkui, Yang Kang, Tuo Benben, Pan Yaduo, Wang Xinyu, Wang Yihan, Gong Yongqian, Zhang Lin, Wang Lihui, Lin Tingyu, Zi Bin, Li Yuan, You Wei, Xu Xun. Digital Twinned Industrial Robot: Conceptual Framework, Key Technologies, and Case Study[J]. Journal of System Simulation, 2025, 37(7): 1723-1752.
Table 1
Comparison of different models
模型类型 | 功能 | 构建方法 | 具体应用 |
---|---|---|---|
多层级装配模型 | 以机器人的本体构成分析为基础,用于指导其他模型(如三维几何模型、多领域耦合模型等)的装配 | 结构树、知识图谱等 | 装配方案生成、可视化展示、虚拟调试等 |
多领域耦合模型 | 能够实现工业机器人“机-电-控”多领域耦合的高保真仿真和分析,从而支撑DTIR相关服务功能的开发 | 多软件协同建模方法、基于高层体系结构的建模方法、基于统一建模语言的建模方法等 | 高保真仿真及分析、优化设计、预测性维护等 |
运动学模型 | 描述和分析工业机器人位置和运动的关系 | D-H参数法、几何分析法、旋量方法等 | 位置控制、运动仿真、人机协作等 |
动力学模型 | 描述和分析工业机器人运动和力(力矩)的关系 | 牛顿-欧拉法、拉格朗日法等 | 前馈控制、碰撞检测、力控作业等 |
物理模型 | 基于物理建模的方法对工业机器人整机及核心零部件进行受力分析、疲劳分析、多物理场耦合分析等 | 解析建模方法、数值建模方法等 | 优化设计、预测性维护等 |
数据驱动模型 | 基于数据分析的方法对工业机器人采集的数据进行建模以反映其行为和性能等特性 | 统计模型、机器学习、深度学习等 | 优化设计、预测性维护等 |
Table 2
Performance parameters of the "XD1" digital twinned industrial robot
关节 | 电机功率/W | 伺服驱动器电流/A | 最大速度/((˚)/s) | 关节允许范围/(˚) | 传动方式 | 减速器(减速比) | 数据采集 |
---|---|---|---|---|---|---|---|
J1 | 400 | 6 | 330 | ±170 | 减速器 | 谐波减速器(80) | 振动、角度、速度、加速度、跟随误差、电机电流、母线电压、电机力矩、电机温度、编码器温度、整机系统电压、电流、能耗、环境温度等 |
J2 | 400 | 6 | 330 | ±110 | 减速器 | 谐波减速器(80) | |
J3 | 200 | 6 | 330 | +30~-220 | 减速器+同步带 | 谐波减速器(80) | |
J4 | 400 | 3 | 260 | ±180 | 减速器+同步带 | 谐波减速器(50) | |
J5 | 400 | 3 | 420 | ±110 | 减速器+同步带 | 谐波减速器(100) | |
J6 | 400 | 3 | 500 | ±360 | 减速器 | 谐波减速器(100) |
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