现代制造工程 ›› 2026, Vol. 550 ›› Issue (7): 33-40.doi: 10.16731/j.cnki.1671-3133.2026.07.004

• 机器人技术 • 上一篇    下一篇

应用混合迭代法的机器人动力学参数辨识*

李森, 库祥臣, 朱二州, 薛润青, 梁一晨   

  1. 河南科技大学机电工程学院,洛阳 471003
  • 收稿日期:2025-05-19 出版日期:2026-07-18 发布日期:2026-08-05
  • 作者简介:李森,硕士研究生,主要研究方向为机器人动力学与控制。E-mail:279222344@qq.com;库祥臣,博士,副教授,主要研究方向为机器人控制、机电测控系统。E-mail:kuxch@126.com
  • 基金资助:
    *河南省科技攻关计划项目(192102210065)

Robot dynamics parameter identification with application of hybrid iterative method

LI Sen, KU Xiangchen, ZHU Erzhou, XUE Runqing, LIANG Yichen   

  1. School of Electrical and Mechanical Engineering,Henan University of Science and Technology,Luoyang 471003,China
  • Received:2025-05-19 Online:2026-07-18 Published:2026-08-05

摘要: 精确辨识机器人动力学参数是阻抗控制与轨迹跟踪控制等研究的关键,由于传统的辨识方法无法保证动力学参数的物理可行性,导致辨识出来的参数无法使用,为此提出一种混合迭代法用于机器人动力学参数辨识。该方法分为内、外两个循环,通过在内循环中引入线性矩阵不等式与半正定规划来保证辨识参数的物理可行性,进而辨识惯性参数,在外循环中结合Stribeck摩擦模型来改进摩擦力矩估计,以辨识摩擦参数,内、外循环迭代计算,直至满足收敛条件。最后在六自由度串联机械臂上进行实验,混合迭代法6关节的力矩均方根误差值与最小二乘法相比降低了17.24 %,切实提高了机器人动力学参数辨识的准确性,证明了混合迭代法的有效性。

关键词: 机械臂, 动力学模型, Stribeck摩擦模型, 参数辨识, 混合迭代法

Abstract: Accurate identification of robot dynamics parameters is the key to the research of impedance control and trajectory tracking control,etc. Since the traditional identification methods cannot guarantee the physical feasibility of the dynamics parameters,resulting in the identification parameters cannot be used,a hybrid iterative method for the identification of robot dynamics parameters is proposed. The method is divided into two loops,the physical feasibility of the identified parameters is guaranteed by introducing linear matrix inequality and semi-positive definite programming in the inner loop,and then the inertia parameters are identified,and the friction parameters are identified by improving the friction torque estimation with the Stribeck friction model in the outer loop,which is computed in a cyclic manner until the convergence condition is satisfied. Finally,experiments are carried out on a six-degree-of-freedom tandem robotic arm,and the root-mean-square error value of the moments of the 6 joints is 17.24 % lower in the hybrid iterative method compared with the least-squares method,which practically improves the accuracy of the robot dynamics parameterization,and proves the validity of the hybrid iterative method.

Key words: robotic arm, dynamic model, Stribeck friction model, parameter identification, hybrid iterative method

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