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基于关节扭矩平衡的机器人末端负载建模及辨识

高贯斌 赵思郭 李映杰

中国机械工程2025,Vol.36Issue(6):1188-1197,10.
中国机械工程2025,Vol.36Issue(6):1188-1197,10.DOI:10.3969/j.issn.1004-132X.2025.06.006

基于关节扭矩平衡的机器人末端负载建模及辨识

Modeling and Identification of Robot End-payloads Based on Joint Torque Balance

高贯斌 1赵思郭 1李映杰1

作者信息

  • 1. 昆明理工大学机电工程学院,昆明,650500||云南省智能控制与应用重点实验室,昆明,650500
  • 折叠

摘要

Abstract

To address the challenges of decoupling center of mass parameters in existing end-pay-load identification methods and the difficulty of implementation on robots with non-open controllers,a torque-balance-based modeling and identification method was proposed for robot end-payloads.The identifiability conditions of the end-payloads were analyzed under joint torque balance,and identifica-tion models for the end-payload mass and center of mass position were established.To further decou-ple the mass and center of mass parameters,a three-step identification strategy was designed,where the load mass was identified first,followed by the center of mass position in x and y,and finally in z.This strategy effectively eliminated the error terms introduced by the projection of joint torques in the identification models.The efficiency of the proposed method was validated through simulation and ex-periments.Compared with the built-in identification method of a non-open-source six-degree-of-free-dom robot,the average error in mass identification is reduced from 0.103 kg to 0.032 kg,while the average error in center of mass position identification is decreased from 50.25 mm to 4.14 mm.Fur-thermore,compared with dynamics parameter identification,the mass identification error is reduced from 0.179 kg to 0.083 kg,and the center of mass position error is reduced from 10.13 mm to 4.33 mm.

关键词

工业机器人/末端负载/扭矩平衡/参数辨识/力矩投影

Key words

industrial robot/end-payload/torque balance/parameter identification/torque pro-jection

分类

计算机与自动化

引用本文复制引用

高贯斌,赵思郭,李映杰..基于关节扭矩平衡的机器人末端负载建模及辨识[J].中国机械工程,2025,36(6):1188-1197,10.

基金项目

国家自然科学基金(52265001) (52265001)

云南省科技厅基础研究重点项目(202201AS070033) (202201AS070033)

中国机械工程

OA北大核心

1004-132X

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